Notebook_CORD-19_1_overview.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CORD-19 overview\n",
    "\n",
    "In this notebook, we provide an overview of publication medatata for CORD-19."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# magics and warnings\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import warnings; warnings.simplefilter('ignore')\n",
    "\n",
    "import os, random, codecs, json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "seed = 99\n",
    "random.seed(seed)\n",
    "np.random.seed(seed)\n",
    "\n",
    "import nltk, sklearn\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set(style=\"white\")\n",
    "sns.set_context(\"notebook\", font_scale=1.2, rc={\"lines.linewidth\": 2.5})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load metadata\n",
    "\n",
    "df_meta = pd.read_csv(\"datasets_output/df_pub.csv\",compression=\"gzip\")\n",
    "df_datasource = pd.read_csv(\"datasets_output/sql_tables/datasource.csv\",sep=\"\\t\",header=None,names=['datasource_metadata_id', 'datasource', 'url'])\n",
    "df_pub_datasource = pd.read_csv(\"datasets_output/sql_tables/pub_datasource.csv\",sep=\"\\t\",header=None,names=['pub_id','datasource_metadata_id'])\n",
    "df_cord_meta = pd.read_csv(\"datasets_output/sql_tables/cord19_metadata.csv\",sep=\"\\t\",header=None,names=[ 'cord19_metadata_id', 'source', 'license', 'ms_academic_id',\n",
    "       'who_covidence', 'sha', 'full_text', 'pub_id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pub_id</th>\n",
       "      <th>title</th>\n",
       "      <th>abstract</th>\n",
       "      <th>publication_year</th>\n",
       "      <th>publication_month</th>\n",
       "      <th>journal</th>\n",
       "      <th>volume</th>\n",
       "      <th>issue</th>\n",
       "      <th>pages</th>\n",
       "      <th>doi</th>\n",
       "      <th>pmid</th>\n",
       "      <th>pmcid</th>\n",
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       "      <th>arxiv_id</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Coronavirus disease 2019 (COVID-19) and simult...</td>\n",
       "      <td>Coronavirus disease 2019 (COVID-19) is a recen...</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>CardioVascular Journal of Africa</td>\n",
       "      <td>31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1-4</td>\n",
       "      <td>10-5830-cvja-2020-016</td>\n",
       "      <td>32490506.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pub.1128171889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-07-02 10:54:27.347501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>[Ten hot issues of breast cancer under the nov...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Chinese medical journal</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>e002</td>\n",
       "      <td>10.0376/cma.j.issn.0376-2491.2020.0002</td>\n",
       "      <td>32036640.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pub.1124777091</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-07-02 10:54:27.347501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Cohesion in Distancing.</td>\n",
       "      <td>In isolation, we are physically apart; in soli...</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>The AMA Journal of Ethic</td>\n",
       "      <td>22</td>\n",
       "      <td>4</td>\n",
       "      <td>e344-345</td>\n",
       "      <td>10.1001/amajethics.2020.344</td>\n",
       "      <td>32345430.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pub.1127182341</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-07-02 10:54:27.347501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Salvation in a Time of Plague.</td>\n",
       "      <td>Health workers offer their skills and care to ...</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>The AMA Journal of Ethic</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "      <td>e441-445</td>\n",
       "      <td>10.1001/amajethics.2020.441</td>\n",
       "      <td>32449663.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pub.1127905371</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-07-02 10:54:27.347501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>What Should Health Science Journalists Do in E...</td>\n",
       "      <td>Journalists have long covered outbreaks of inf...</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>AMA journal of ethics</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.1001/amajethics.2020.55</td>\n",
       "      <td>31958392.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020-07-02 10:54:27.347501</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pub_id                                              title  \\\n",
       "0       0  Coronavirus disease 2019 (COVID-19) and simult...   \n",
       "1       1  [Ten hot issues of breast cancer under the nov...   \n",
       "2       2                            Cohesion in Distancing.   \n",
       "3       3                     Salvation in a Time of Plague.   \n",
       "4       4  What Should Health Science Journalists Do in E...   \n",
       "\n",
       "                                            abstract  publication_year  \\\n",
       "0  Coronavirus disease 2019 (COVID-19) is a recen...            2020.0   \n",
       "1                                                NaN            2020.0   \n",
       "2  In isolation, we are physically apart; in soli...            2020.0   \n",
       "3  Health workers offer their skills and care to ...            2020.0   \n",
       "4  Journalists have long covered outbreaks of inf...            2020.0   \n",
       "\n",
       "   publication_month                           journal volume issue     pages  \\\n",
       "0                5.0  CardioVascular Journal of Africa     31   NaN       1-4   \n",
       "1                2.0           Chinese medical journal    100     0      e002   \n",
       "2                4.0          The AMA Journal of Ethic     22     4  e344-345   \n",
       "3                5.0          The AMA Journal of Ethic     22     5  e441-445   \n",
       "4                1.0             AMA journal of ethics    NaN   NaN       NaN   \n",
       "\n",
       "                                      doi        pmid pmcid   dimensions_id  \\\n",
       "0                   10-5830-cvja-2020-016  32490506.0   NaN  pub.1128171889   \n",
       "1  10.0376/cma.j.issn.0376-2491.2020.0002  32036640.0   NaN  pub.1124777091   \n",
       "2             10.1001/amajethics.2020.344  32345430.0   NaN  pub.1127182341   \n",
       "3             10.1001/amajethics.2020.441  32449663.0   NaN  pub.1127905371   \n",
       "4              10.1001/amajethics.2020.55  31958392.0   NaN             NaN   \n",
       "\n",
       "  arxiv_id                   timestamp  \n",
       "0      NaN  2020-07-02 10:54:27.347501  \n",
       "1      NaN  2020-07-02 10:54:27.347501  \n",
       "2      NaN  2020-07-02 10:54:27.347501  \n",
       "3      NaN  2020-07-02 10:54:27.347501  \n",
       "4      NaN  2020-07-02 10:54:27.347501  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_meta.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['pub_id', 'title', 'abstract', 'publication_year', 'publication_month',\n",
       "       'journal', 'volume', 'issue', 'pages', 'doi', 'pmid', 'pmcid',\n",
       "       'dimensions_id', 'arxiv_id', 'timestamp'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_meta.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datasource_metadata_id</th>\n",
       "      <th>datasource</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>CORD19</td>\n",
       "      <td>https://pages.semanticscholar.org/coronavirus-...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Dimensions</td>\n",
       "      <td>https://docs.google.com/spreadsheets/d/1-kTZJZ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "   datasource_metadata_id  datasource  \\\n",
       "0                       0      CORD19   \n",
       "1                       1  Dimensions   \n",
       "\n",
       "                                                 url  \n",
       "0  https://pages.semanticscholar.org/coronavirus-...  \n",
       "1  https://docs.google.com/spreadsheets/d/1-kTZJZ...  "
      ]
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     "execution_count": 5,
     "metadata": {},
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   ],
   "source": [
    "df_datasource"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>pub_id</th>\n",
       "      <th>datasource_metadata_id</th>\n",
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      ],
      "text/plain": [
       "   pub_id  datasource_metadata_id\n",
       "0       1                       0\n",
       "1       2                       0\n",
       "2       3                       0\n",
       "3       4                       0\n",
       "4       5                       0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pub_datasource.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cord19_metadata_id</th>\n",
       "      <th>source</th>\n",
       "      <th>license</th>\n",
       "      <th>ms_academic_id</th>\n",
       "      <th>who_covidence</th>\n",
       "      <th>sha</th>\n",
       "      <th>full_text</th>\n",
       "      <th>pub_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Medline; WHO</td>\n",
       "      <td>unk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#615</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Medline</td>\n",
       "      <td>unk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Medline</td>\n",
       "      <td>unk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Medline</td>\n",
       "      <td>unk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Medline</td>\n",
       "      <td>unk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   cord19_metadata_id        source license  ms_academic_id who_covidence  \\\n",
       "0                   0  Medline; WHO     unk             NaN          #615   \n",
       "1                   1       Medline     unk             NaN           NaN   \n",
       "2                   2       Medline     unk             NaN           NaN   \n",
       "3                   3       Medline     unk             NaN           NaN   \n",
       "4                   4       Medline     unk             NaN           NaN   \n",
       "\n",
       "   sha full_text  pub_id  \n",
       "0  NaN       NaN       1  \n",
       "1  NaN       NaN       2  \n",
       "2  NaN       NaN       3  \n",
       "3  NaN       NaN       4  \n",
       "4  NaN       NaN       5  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cord_meta.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Select just CORD-19"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_meta = df_meta.merge(df_pub_datasource, how=\"inner\", left_on=\"pub_id\", right_on=\"pub_id\")\n",
    "df_meta = df_meta.merge(df_datasource, how=\"inner\", left_on=\"datasource_metadata_id\", right_on=\"datasource_metadata_id\")\n",
    "df_cord19 = df_meta[df_meta.datasource_metadata_id==0]\n",
    "df_cord19 = df_cord19.merge(df_cord_meta, how=\"inner\", left_on=\"pub_id\", right_on=\"pub_id\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(201599, 18)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_meta.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(140351, 25)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cord19.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pub_id</th>\n",
       "      <th>title</th>\n",
       "      <th>abstract</th>\n",
       "      <th>publication_year</th>\n",
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       "      <th>issue</th>\n",
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       "      <th>doi</th>\n",
       "      <th>...</th>\n",
       "      <th>datasource_metadata_id</th>\n",
       "      <th>datasource</th>\n",
       "      <th>url</th>\n",
       "      <th>cord19_metadata_id</th>\n",
       "      <th>source</th>\n",
       "      <th>license</th>\n",
       "      <th>ms_academic_id</th>\n",
       "      <th>who_covidence</th>\n",
       "      <th>sha</th>\n",
       "      <th>full_text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Coronavirus disease 2019 (COVID-19) and simult...</td>\n",
       "      <td>Coronavirus disease 2019 (COVID-19) is a recen...</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>CardioVascular Journal of Africa</td>\n",
       "      <td>31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1-4</td>\n",
       "      <td>10-5830-cvja-2020-016</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>CORD19</td>\n",
       "      <td>https://pages.semanticscholar.org/coronavirus-...</td>\n",
       "      <td>136796</td>\n",
       "      <td>Medline</td>\n",
       "      <td>unk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>[Ten hot issues of breast cancer under the nov...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Chinese medical journal</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>e002</td>\n",
       "      <td>10.0376/cma.j.issn.0376-2491.2020.0002</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>CORD19</td>\n",
       "      <td>https://pages.semanticscholar.org/coronavirus-...</td>\n",
       "      <td>0</td>\n",
       "      <td>Medline; WHO</td>\n",
       "      <td>unk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#615</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Cohesion in Distancing.</td>\n",
       "      <td>In isolation, we are physically apart; in soli...</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>The AMA Journal of Ethic</td>\n",
       "      <td>22</td>\n",
       "      <td>4</td>\n",
       "      <td>e344-345</td>\n",
       "      <td>10.1001/amajethics.2020.344</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>CORD19</td>\n",
       "      <td>https://pages.semanticscholar.org/coronavirus-...</td>\n",
       "      <td>1</td>\n",
       "      <td>Medline</td>\n",
       "      <td>unk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Salvation in a Time of Plague.</td>\n",
       "      <td>Health workers offer their skills and care to ...</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>The AMA Journal of Ethic</td>\n",
       "      <td>22</td>\n",
       "      <td>5</td>\n",
       "      <td>e441-445</td>\n",
       "      <td>10.1001/amajethics.2020.441</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>CORD19</td>\n",
       "      <td>https://pages.semanticscholar.org/coronavirus-...</td>\n",
       "      <td>2</td>\n",
       "      <td>Medline</td>\n",
       "      <td>unk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>What Should Health Science Journalists Do in E...</td>\n",
       "      <td>Journalists have long covered outbreaks of inf...</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>AMA journal of ethics</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.1001/amajethics.2020.55</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>CORD19</td>\n",
       "      <td>https://pages.semanticscholar.org/coronavirus-...</td>\n",
       "      <td>3</td>\n",
       "      <td>Medline</td>\n",
       "      <td>unk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   pub_id                                              title  \\\n",
       "0       0  Coronavirus disease 2019 (COVID-19) and simult...   \n",
       "1       1  [Ten hot issues of breast cancer under the nov...   \n",
       "2       2                            Cohesion in Distancing.   \n",
       "3       3                     Salvation in a Time of Plague.   \n",
       "4       4  What Should Health Science Journalists Do in E...   \n",
       "\n",
       "                                            abstract  publication_year  \\\n",
       "0  Coronavirus disease 2019 (COVID-19) is a recen...            2020.0   \n",
       "1                                                NaN            2020.0   \n",
       "2  In isolation, we are physically apart; in soli...            2020.0   \n",
       "3  Health workers offer their skills and care to ...            2020.0   \n",
       "4  Journalists have long covered outbreaks of inf...            2020.0   \n",
       "\n",
       "   publication_month                           journal volume issue     pages  \\\n",
       "0                5.0  CardioVascular Journal of Africa     31   NaN       1-4   \n",
       "1                2.0           Chinese medical journal    100     0      e002   \n",
       "2                4.0          The AMA Journal of Ethic     22     4  e344-345   \n",
       "3                5.0          The AMA Journal of Ethic     22     5  e441-445   \n",
       "4                1.0             AMA journal of ethics    NaN   NaN       NaN   \n",
       "\n",
       "                                      doi  ...  datasource_metadata_id  \\\n",
       "0                   10-5830-cvja-2020-016  ...                       0   \n",
       "1  10.0376/cma.j.issn.0376-2491.2020.0002  ...                       0   \n",
       "2             10.1001/amajethics.2020.344  ...                       0   \n",
       "3             10.1001/amajethics.2020.441  ...                       0   \n",
       "4              10.1001/amajethics.2020.55  ...                       0   \n",
       "\n",
       "  datasource                                                url  \\\n",
       "0     CORD19  https://pages.semanticscholar.org/coronavirus-...   \n",
       "1     CORD19  https://pages.semanticscholar.org/coronavirus-...   \n",
       "2     CORD19  https://pages.semanticscholar.org/coronavirus-...   \n",
       "3     CORD19  https://pages.semanticscholar.org/coronavirus-...   \n",
       "4     CORD19  https://pages.semanticscholar.org/coronavirus-...   \n",
       "\n",
       "  cord19_metadata_id        source  license ms_academic_id who_covidence  sha  \\\n",
       "0             136796       Medline      unk            NaN           NaN  NaN   \n",
       "1                  0  Medline; WHO      unk            NaN          #615  NaN   \n",
       "2                  1       Medline      unk            NaN           NaN  NaN   \n",
       "3                  2       Medline      unk            NaN           NaN  NaN   \n",
       "4                  3       Medline      unk            NaN           NaN  NaN   \n",
       "\n",
       "  full_text  \n",
       "0       NaN  \n",
       "1       NaN  \n",
       "2       NaN  \n",
       "3       NaN  \n",
       "4       NaN  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cord19.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Publication years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "\n",
    "def clean_year(s):\n",
    "    if pd.isna(s):\n",
    "        return np.nan\n",
    "    if not (s>1900):\n",
    "        return np.nan\n",
    "    elif s>2020:\n",
    "        return 2020\n",
    "    return s\n",
    "\n",
    "df_cord19[\"publication_year\"] = df_cord19[\"publication_year\"].apply(clean_year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    140339.000000\n",
       "mean       2014.483565\n",
       "std           7.287965\n",
       "min        1901.000000\n",
       "25%        2011.000000\n",
       "50%        2017.000000\n",
       "75%        2020.000000\n",
       "max        2020.000000\n",
       "Name: publication_year, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cord19.publication_year.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df_cord19.publication_year.tolist(), bins=60, kde=False)\n",
    "plt.xlabel(\"Publication year\", fontsize=15)\n",
    "plt.ylabel(\"Publication count\", fontsize=15)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"figures/publication_year_all.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df_cord19[(pd.notnull(df_cord19.publication_year)) & (df_cord19.publication_year > 2000)].publication_year.tolist(), bins=20, hist=True, kde=False)\n",
    "plt.xlabel(\"Publication year\", fontsize=15)\n",
    "plt.ylabel(\"Publication count\", fontsize=15)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"figures/publication_year_2000.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "which = \"PMC\"\n",
    "\n",
    "sns.distplot(df_cord19[(pd.notnull(df_cord19.publication_year)) & (df_cord19.publication_year > 2000) & (df_cord19.source == which)].publication_year.tolist(), bins=20, hist=True, kde=False)\n",
    "plt.xlabel(\"Publication year\", fontsize=15)\n",
    "plt.ylabel(\"Publication count\", fontsize=15)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "publication_year  publication_month\n",
       "2019.0            1.0                    306\n",
       "                  2.0                    334\n",
       "                  3.0                    355\n",
       "                  4.0                    358\n",
       "                  5.0                    347\n",
       "                  6.0                    351\n",
       "                  7.0                    359\n",
       "                  8.0                    339\n",
       "                  9.0                    308\n",
       "                  10.0                   369\n",
       "                  11.0                   495\n",
       "                  12.0                   591\n",
       "2020.0            1.0                   2346\n",
       "                  2.0                   1397\n",
       "                  3.0                   3573\n",
       "                  4.0                   8549\n",
       "                  5.0                  15606\n",
       "                  6.0                  15795\n",
       "                  7.0                   2180\n",
       "                  8.0                    579\n",
       "                  9.0                    415\n",
       "                  10.0                   208\n",
       "                  11.0                   140\n",
       "                  12.0                   951\n",
       "Name: pub_id, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# recent uptake\n",
    "df_cord19[df_cord19.publication_year>2018].groupby([(df_cord19.publication_year),(df_cord19.publication_month)]).count().pub_id"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(140351, 25)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cord19.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cord19[\"abstract_length\"] = df_cord19.abstract.str.len()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(109296, 26)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cord19[df_cord19.abstract_length>0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "109296"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(pd.notnull(df_cord19.abstract))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "127118"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(pd.notnull(df_cord19.doi))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "78941"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(pd.notnull(df_cord19.pmcid))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "110769"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(pd.notnull(df_cord19.pmid))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "137864"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(pd.notnull(df_cord19.journal))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Journals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "medRxiv                                                                            4319\n",
       "PLoS One                                                                           1669\n",
       "bioRxiv                                                                            1668\n",
       "Journal of virology                                                                1607\n",
       "arXiv                                                                              1272\n",
       "Virology                                                                            934\n",
       "Surgical endoscopy                                                                  918\n",
       "Emerg Infect Dis                                                                    772\n",
       "Viruses                                                                             686\n",
       "Nature                                                                              681\n",
       "The BMJ                                                                             663\n",
       "Sci Rep                                                                             660\n",
       "Arch Virol                                                                          648\n",
       "The Journal of general virology                                                     589\n",
       "Vaccine                                                                             566\n",
       "The Lancet                                                                          516\n",
       "Lancet                                                                              445\n",
       "Science                                                                             434\n",
       "Journal of neurointerventional surgery                                              418\n",
       "Journal of Medical Virology                                                         416\n",
       "JAMA                                                                                410\n",
       "Virol J                                                                             403\n",
       "PLoS Pathog                                                                         392\n",
       "BMC Infect Dis                                                                      391\n",
       "Journal of Virological Methods                                                      384\n",
       "Advances in experimental medicine and biology                                       366\n",
       "Proceedings of the National Academy of Sciences of the United States of America     364\n",
       "Virus Research                                                                      363\n",
       "J Clin Virol                                                                        358\n",
       "Computational Science - ICCS 2020                                                   347\n",
       "Name: journal, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cord19.journal.value_counts()[:30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_sub = df_cord19[df_cord19.journal.isin(df_cord19.journal.value_counts()[:20].index.tolist())]\n",
    "b = sns.countplot(y=\"journal\", data=df_sub, order=df_sub['journal'].value_counts().index)\n",
    "#b.axes.set_title(\"Title\",fontsize=50)\n",
    "b.set_xlabel(\"Publication count\",fontsize=15)\n",
    "b.set_ylabel(\"Journal\",fontsize=15)\n",
    "b.tick_params(labelsize=12)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"figures/journals.pdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Sources and licenses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# source\n",
    "df_sub = df_cord19[df_cord19.source.isin(df_cord19.source.value_counts()[:10].index.tolist())]\n",
    "b = sns.countplot(y=\"source\", data=df_sub, order=df_sub['source'].value_counts().index)\n",
    "#b.axes.set_title(\"Title\",fontsize=50)\n",
    "b.set_xlabel(\"Publication count\",fontsize=15)\n",
    "b.set_ylabel(\"Source\",fontsize=15)\n",
    "b.tick_params(labelsize=12)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"figures/sources.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# license\n",
    "df_sub = df_cord19[df_cord19.license.isin(df_cord19.license.value_counts()[:30].index.tolist())]\n",
    "b = sns.countplot(y=\"license\", data=df_sub, order=df_sub['license'].value_counts().index)\n",
    "#b.axes.set_title(\"Title\",fontsize=50)\n",
    "b.set_xlabel(\"Publication count\",fontsize=15)\n",
    "b.set_ylabel(\"License\",fontsize=15)\n",
    "b.tick_params(labelsize=12)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"figures/licenses.pdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Full text availability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_cord19[\"has_full_text\"] = pd.notnull(df_cord19.full_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "69841"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cord19[\"has_full_text\"].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# full text x source\n",
    "df_plot = df_cord19.groupby(['has_full_text', 'source']).size().reset_index().pivot(columns='has_full_text', index='source', values=0)\n",
    "df_plot.plot(kind='bar', stacked=True)\n",
    "plt.xlabel(\"Source\", fontsize=15)\n",
    "plt.ylabel(\"Publication count\", fontsize=15)\n",
    "#plt.tight_layout()\n",
    "plt.savefig(\"figures/source_ft.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# full text x journal\n",
    "df_sub = df_cord19[df_cord19.journal.isin(df_cord19.journal.value_counts()[:20].index.tolist())]\n",
    "df_plot = df_sub.groupby(['has_full_text', 'journal']).size().reset_index().pivot(columns='has_full_text', index='journal', values=0)\n",
    "df_plot.plot(kind='bar', stacked=True)\n",
    "plt.xlabel(\"Source\", fontsize=15)\n",
    "plt.ylabel(\"Publication count\", fontsize=15)\n",
    "#plt.tight_layout()\n",
    "plt.savefig(\"figures/journal_ft.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# full text x year\n",
    "df_sub = df_cord19[(pd.notnull(df_cord19.publication_year)) & (df_cord19.publication_year > 2000)]\n",
    "df_plot = df_sub.groupby(['has_full_text', 'publication_year']).size().reset_index().pivot(columns='has_full_text', index='publication_year', values=0)\n",
    "df_plot.plot(kind='bar', stacked=True)\n",
    "plt.xticks(np.arange(20), [int(x) for x in df_plot.index.values], rotation=45)\n",
    "plt.xlabel(\"Publication year\", fontsize=15)\n",
    "plt.ylabel(\"Publication count\", fontsize=15)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"figures/year_ft.pdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dimensions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load Dimensions data (you will need to download it on your own!)\n",
    "\n",
    "directory_name = \"datasets_output/json_dimensions_cwts\"\n",
    "\n",
    "all_dimensions = list()\n",
    "for root, dirs, files in os.walk(directory_name):\n",
    "    for file in files:\n",
    "        if \".json\" in file:\n",
    "            all_data = codecs.open(os.path.join(root,file)).read()\n",
    "            for record in all_data.split(\"\\n\"):\n",
    "                if record:\n",
    "                    all_dimensions.append(json.loads(record))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dimensions = pd.DataFrame.from_dict({\n",
    "    \"id\":[r[\"id\"] for r in all_dimensions],\n",
    "    \"publication_type\":[r[\"publication_type\"] for r in all_dimensions],\n",
    "    \"doi\":[r[\"doi\"] for r in all_dimensions],\n",
    "    \"pmid\":[r[\"pmid\"] for r in all_dimensions],\n",
    "    \"issn\":[r[\"journal\"][\"issn\"] for r in all_dimensions],\n",
    "    \"times_cited\":[r[\"times_cited\"] for r in all_dimensions],\n",
    "    \"relative_citation_ratio\":[r[\"relative_citation_ratio\"] for r in all_dimensions],\n",
    "    \"for_top\":[r[\"for\"][0][\"first_level\"][\"name\"] if len(r[\"for\"])>0 else \"\" for r in all_dimensions],\n",
    "    \"for_bottom\":[r[\"for\"][0][\"second_level\"][\"name\"] if len(r[\"for\"])>0 else \"\" for r in all_dimensions],\n",
    "    \"open_access_versions\":[r[\"open_access_versions\"] for r in all_dimensions]\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>publication_type</th>\n",
       "      <th>doi</th>\n",
       "      <th>pmid</th>\n",
       "      <th>issn</th>\n",
       "      <th>times_cited</th>\n",
       "      <th>relative_citation_ratio</th>\n",
       "      <th>for_top</th>\n",
       "      <th>for_bottom</th>\n",
       "      <th>open_access_versions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>pub.1127982992</td>\n",
       "      <td>article</td>\n",
       "      <td>10.1053/j.gastro.2020.05.066</td>\n",
       "      <td>32479824</td>\n",
       "      <td>0016-5085</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pub.1127467922</td>\n",
       "      <td>article</td>\n",
       "      <td>10.1053/j.jvca.2020.04.061</td>\n",
       "      <td>32507459</td>\n",
       "      <td>1053-0770</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pub.1127651503</td>\n",
       "      <td>article</td>\n",
       "      <td>10.1053/j.gastro.2020.05.037</td>\n",
       "      <td>32425228</td>\n",
       "      <td>0016-5085</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pub.1127316115</td>\n",
       "      <td>article</td>\n",
       "      <td>10.1053/j.gastro.2020.04.061</td>\n",
       "      <td>32371115</td>\n",
       "      <td>0016-5085</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pub.1127684826</td>\n",
       "      <td>article</td>\n",
       "      <td>10.1053/j.gastro.2020.05.032</td>\n",
       "      <td>32425234</td>\n",
       "      <td>0016-5085</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Medical and Health Sciences</td>\n",
       "      <td>Clinical Sciences</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               id publication_type                           doi      pmid  \\\n",
       "0  pub.1127982992          article  10.1053/j.gastro.2020.05.066  32479824   \n",
       "1  pub.1127467922          article    10.1053/j.jvca.2020.04.061  32507459   \n",
       "2  pub.1127651503          article  10.1053/j.gastro.2020.05.037  32425228   \n",
       "3  pub.1127316115          article  10.1053/j.gastro.2020.04.061  32371115   \n",
       "4  pub.1127684826          article  10.1053/j.gastro.2020.05.032  32425234   \n",
       "\n",
       "        issn  times_cited  relative_citation_ratio  \\\n",
       "0  0016-5085            0                      NaN   \n",
       "1  1053-0770            0                      NaN   \n",
       "2  0016-5085            0                      NaN   \n",
       "3  0016-5085            0                      NaN   \n",
       "4  0016-5085            7                      NaN   \n",
       "\n",
       "                       for_top         for_bottom open_access_versions  \n",
       "0                                                                   []  \n",
       "1                                                                   []  \n",
       "2                                                                   []  \n",
       "3                                                                   []  \n",
       "4  Medical and Health Sciences  Clinical Sciences                   []  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dimensions.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dimensions.pmid = df_dimensions.pmid.astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(150749, 10)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dimensions.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_joined_doi = df_cord19[pd.notnull(df_cord19.doi)].merge(df_dimensions[pd.notnull(df_dimensions.doi)], how=\"inner\", left_on=\"doi\", right_on=\"doi\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(120683, 34)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_joined_doi.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_joined_pmid = df_cord19[pd.isnull(df_cord19.doi) & pd.notnull(df_cord19.pmid)].merge(df_dimensions[pd.isnull(df_dimensions.doi) & pd.notnull(df_dimensions.pmid)], how=\"inner\", left_on=\"pmid\", right_on=\"pmid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3475, 34)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_joined_pmid.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_joined = pd.concat([df_joined_doi,df_joined_pmid])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# nearly all publications from CORD-19 are in Dimensions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(124158, 37)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_joined.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(140351, 25)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cord19.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# publication type\n",
    "\n",
    "df_sub = df_joined[df_joined.publication_type.isin(df_joined.publication_type.value_counts()[:10].index.tolist())]\n",
    "b = sns.countplot(y=\"publication_type\", data=df_sub, order=df_sub['publication_type'].value_counts().index)\n",
    "#b.axes.set_title(\"Title\",fontsize=50)\n",
    "b.set_xlabel(\"Publication count\",fontsize=15)\n",
    "b.set_ylabel(\"Publication type\",fontsize=15)\n",
    "b.tick_params(labelsize=12)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"figures/dim_pub_type.pdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Citation counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# scatter of citations vs time of publication\n",
    "\n",
    "sns.scatterplot(df_joined.publication_year.to_list(),df_joined.times_cited.to_list())\n",
    "plt.xlabel(\"Publication year\", fontsize=15)\n",
    "plt.ylabel(\"Citation count\", fontsize=15)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"figures/dim_citations_year.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>times_cited</th>\n",
       "      <th>relative_citation_ratio</th>\n",
       "      <th>journal</th>\n",
       "      <th>publication_year</th>\n",
       "      <th>doi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>54203</th>\n",
       "      <td>Clinical features of patients infected with 20...</td>\n",
       "      <td>5508</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Lancet</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1016/s0140-6736(20)30183-5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70764</th>\n",
       "      <td>Biological roles of oligosaccharides: all of t...</td>\n",
       "      <td>4021</td>\n",
       "      <td>92.34</td>\n",
       "      <td>Glycobiology</td>\n",
       "      <td>1993.0</td>\n",
       "      <td>10.1093/glycob/3.2.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73489</th>\n",
       "      <td>Surviving sepsis campaign: international guide...</td>\n",
       "      <td>3998</td>\n",
       "      <td>205.11</td>\n",
       "      <td>Critical care medicine</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>10.1097/ccm.0b013e31827e83af</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68464</th>\n",
       "      <td>Infectious Diseases Society of America/America...</td>\n",
       "      <td>3967</td>\n",
       "      <td>111.15</td>\n",
       "      <td>Clin Infect Dis</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>10.1086/511159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53906</th>\n",
       "      <td>Epidemiology and causes of preterm birth</td>\n",
       "      <td>3680</td>\n",
       "      <td>120.06</td>\n",
       "      <td>The Lancet</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>10.1016/s0140-6736(08)60074-4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65630</th>\n",
       "      <td>Clinical Characteristics of Coronavirus Diseas...</td>\n",
       "      <td>3278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New England Journal of Medicine</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1056/nejmoa2002032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65626</th>\n",
       "      <td>A Novel Coronavirus from Patients with Pneumon...</td>\n",
       "      <td>3250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New England Journal of Medicine</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1056/nejmoa2001017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>Clinical Characteristics of 138 Hospitalized P...</td>\n",
       "      <td>3220</td>\n",
       "      <td>NaN</td>\n",
       "      <td>JAMA</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1001/jama.2020.1585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65611</th>\n",
       "      <td>Randomized assessment of rapid endovascular tr...</td>\n",
       "      <td>3079</td>\n",
       "      <td>197.01</td>\n",
       "      <td>The New England journal of medicine</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>10.1056/nejmoa1414905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11939</th>\n",
       "      <td>Surviving Sepsis Campaign: International Guide...</td>\n",
       "      <td>2962</td>\n",
       "      <td>147.71</td>\n",
       "      <td>Intensive Care Med</td>\n",
       "      <td>2013.0</td>\n",
       "      <td>10.1007/s00134-012-2769-8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60872</th>\n",
       "      <td>Global trends in emerging infectious diseases</td>\n",
       "      <td>2957</td>\n",
       "      <td>73.56</td>\n",
       "      <td>Nature</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>10.1038/nature06536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65610</th>\n",
       "      <td>Endovascular therapy for ischemic stroke with ...</td>\n",
       "      <td>2897</td>\n",
       "      <td>185.41</td>\n",
       "      <td>The New England journal of medicine</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>10.1056/nejmoa1414792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54207</th>\n",
       "      <td>Epidemiological and clinical characteristics o...</td>\n",
       "      <td>2762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Lancet</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1016/s0140-6736(20)30211-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>Polyvalent Interactions in Biological Systems:...</td>\n",
       "      <td>2566</td>\n",
       "      <td>40.46</td>\n",
       "      <td>Angewandte Chemie</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>10.1002/(sici)1521-3773(19981102)37:20&lt;2754::a...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65612</th>\n",
       "      <td>Stent-retriever thrombectomy after intravenous...</td>\n",
       "      <td>2537</td>\n",
       "      <td>161.34</td>\n",
       "      <td>The New England journal of medicine</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>10.1056/nejmoa1415061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54274</th>\n",
       "      <td>Clinical course and risk factors for mortality...</td>\n",
       "      <td>2464</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Lancet</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1016/s0140-6736(20)30566-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65614</th>\n",
       "      <td>Thrombectomy within 8 hours after symptom onse...</td>\n",
       "      <td>2405</td>\n",
       "      <td>149.70</td>\n",
       "      <td>The New England journal of medicine</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>10.1056/nejmoa1503780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65629</th>\n",
       "      <td>Early Transmission Dynamics in Wuhan, China, o...</td>\n",
       "      <td>2399</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New England Journal of Medicine</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1056/nejmoa2001316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53471</th>\n",
       "      <td>Biology of Natural Killer Cells</td>\n",
       "      <td>2377</td>\n",
       "      <td>49.60</td>\n",
       "      <td>Adv Immunol</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>10.1016/s0065-2776(08)60664-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62837</th>\n",
       "      <td>A pneumonia outbreak associated with a new cor...</td>\n",
       "      <td>2115</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nature</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1038/s41586-020-2012-7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   title  times_cited  \\\n",
       "54203  Clinical features of patients infected with 20...         5508   \n",
       "70764  Biological roles of oligosaccharides: all of t...         4021   \n",
       "73489  Surviving sepsis campaign: international guide...         3998   \n",
       "68464  Infectious Diseases Society of America/America...         3967   \n",
       "53906           Epidemiology and causes of preterm birth         3680   \n",
       "65630  Clinical Characteristics of Coronavirus Diseas...         3278   \n",
       "65626  A Novel Coronavirus from Patients with Pneumon...         3250   \n",
       "264    Clinical Characteristics of 138 Hospitalized P...         3220   \n",
       "65611  Randomized assessment of rapid endovascular tr...         3079   \n",
       "11939  Surviving Sepsis Campaign: International Guide...         2962   \n",
       "60872      Global trends in emerging infectious diseases         2957   \n",
       "65610  Endovascular therapy for ischemic stroke with ...         2897   \n",
       "54207  Epidemiological and clinical characteristics o...         2762   \n",
       "698    Polyvalent Interactions in Biological Systems:...         2566   \n",
       "65612  Stent-retriever thrombectomy after intravenous...         2537   \n",
       "54274  Clinical course and risk factors for mortality...         2464   \n",
       "65614  Thrombectomy within 8 hours after symptom onse...         2405   \n",
       "65629  Early Transmission Dynamics in Wuhan, China, o...         2399   \n",
       "53471                    Biology of Natural Killer Cells         2377   \n",
       "62837  A pneumonia outbreak associated with a new cor...         2115   \n",
       "\n",
       "       relative_citation_ratio                              journal  \\\n",
       "54203                      NaN                           The Lancet   \n",
       "70764                    92.34                         Glycobiology   \n",
       "73489                   205.11               Critical care medicine   \n",
       "68464                   111.15                      Clin Infect Dis   \n",
       "53906                   120.06                           The Lancet   \n",
       "65630                      NaN      New England Journal of Medicine   \n",
       "65626                      NaN      New England Journal of Medicine   \n",
       "264                        NaN                                 JAMA   \n",
       "65611                   197.01  The New England journal of medicine   \n",
       "11939                   147.71                   Intensive Care Med   \n",
       "60872                    73.56                               Nature   \n",
       "65610                   185.41  The New England journal of medicine   \n",
       "54207                      NaN                           The Lancet   \n",
       "698                      40.46                    Angewandte Chemie   \n",
       "65612                   161.34  The New England journal of medicine   \n",
       "54274                      NaN                           The Lancet   \n",
       "65614                   149.70  The New England journal of medicine   \n",
       "65629                      NaN      New England Journal of Medicine   \n",
       "53471                    49.60                          Adv Immunol   \n",
       "62837                      NaN                               Nature   \n",
       "\n",
       "       publication_year                                                doi  \n",
       "54203            2020.0                      10.1016/s0140-6736(20)30183-5  \n",
       "70764            1993.0                              10.1093/glycob/3.2.97  \n",
       "73489            2013.0                       10.1097/ccm.0b013e31827e83af  \n",
       "68464            2007.0                                     10.1086/511159  \n",
       "53906            2008.0                      10.1016/s0140-6736(08)60074-4  \n",
       "65630            2020.0                              10.1056/nejmoa2002032  \n",
       "65626            2020.0                              10.1056/nejmoa2001017  \n",
       "264              2020.0                             10.1001/jama.2020.1585  \n",
       "65611            2015.0                              10.1056/nejmoa1414905  \n",
       "11939            2013.0                          10.1007/s00134-012-2769-8  \n",
       "60872            2008.0                                10.1038/nature06536  \n",
       "65610            2015.0                              10.1056/nejmoa1414792  \n",
       "54207            2020.0                      10.1016/s0140-6736(20)30211-7  \n",
       "698              1998.0  10.1002/(sici)1521-3773(19981102)37:20<2754::a...  \n",
       "65612            2015.0                              10.1056/nejmoa1415061  \n",
       "54274            2020.0                      10.1016/s0140-6736(20)30566-3  \n",
       "65614            2015.0                              10.1056/nejmoa1503780  \n",
       "65629            2020.0                              10.1056/nejmoa2001316  \n",
       "53471            2008.0                      10.1016/s0065-2776(08)60664-1  \n",
       "62837            2020.0                          10.1038/s41586-020-2012-7  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# most cited papers\n",
    "\n",
    "df_joined[[\"title\",\"times_cited\",\"relative_citation_ratio\",\"journal\",\"publication_year\",\"doi\"]].sort_values(\"times_cited\",ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>times_cited</th>\n",
       "      <th>relative_citation_ratio</th>\n",
       "      <th>journal</th>\n",
       "      <th>publication_year</th>\n",
       "      <th>doi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>54203</th>\n",
       "      <td>Clinical features of patients infected with 20...</td>\n",
       "      <td>5508</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Lancet</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1016/s0140-6736(20)30183-5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65630</th>\n",
       "      <td>Clinical Characteristics of Coronavirus Diseas...</td>\n",
       "      <td>3278</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New England Journal of Medicine</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1056/nejmoa2002032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65626</th>\n",
       "      <td>A Novel Coronavirus from Patients with Pneumon...</td>\n",
       "      <td>3250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New England Journal of Medicine</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1056/nejmoa2001017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>Clinical Characteristics of 138 Hospitalized P...</td>\n",
       "      <td>3220</td>\n",
       "      <td>NaN</td>\n",
       "      <td>JAMA</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1001/jama.2020.1585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54207</th>\n",
       "      <td>Epidemiological and clinical characteristics o...</td>\n",
       "      <td>2762</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Lancet</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1016/s0140-6736(20)30211-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54274</th>\n",
       "      <td>Clinical course and risk factors for mortality...</td>\n",
       "      <td>2464</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Lancet</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1016/s0140-6736(20)30566-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65629</th>\n",
       "      <td>Early Transmission Dynamics in Wuhan, China, o...</td>\n",
       "      <td>2399</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New England Journal of Medicine</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1056/nejmoa2001316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62837</th>\n",
       "      <td>A pneumonia outbreak associated with a new cor...</td>\n",
       "      <td>2115</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nature</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1038/s41586-020-2012-7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>Characteristics of and Important Lessons From ...</td>\n",
       "      <td>2042</td>\n",
       "      <td>NaN</td>\n",
       "      <td>JAMA</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1001/jama.2020.2648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54202</th>\n",
       "      <td>A familial cluster of pneumonia associated wit...</td>\n",
       "      <td>1485</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Lancet</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>10.1016/s0140-6736(20)30154-9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   title  times_cited  \\\n",
       "54203  Clinical features of patients infected with 20...         5508   \n",
       "65630  Clinical Characteristics of Coronavirus Diseas...         3278   \n",
       "65626  A Novel Coronavirus from Patients with Pneumon...         3250   \n",
       "264    Clinical Characteristics of 138 Hospitalized P...         3220   \n",
       "54207  Epidemiological and clinical characteristics o...         2762   \n",
       "54274  Clinical course and risk factors for mortality...         2464   \n",
       "65629  Early Transmission Dynamics in Wuhan, China, o...         2399   \n",
       "62837  A pneumonia outbreak associated with a new cor...         2115   \n",
       "276    Characteristics of and Important Lessons From ...         2042   \n",
       "54202  A familial cluster of pneumonia associated wit...         1485   \n",
       "\n",
       "       relative_citation_ratio                          journal  \\\n",
       "54203                      NaN                       The Lancet   \n",
       "65630                      NaN  New England Journal of Medicine   \n",
       "65626                      NaN  New England Journal of Medicine   \n",
       "264                        NaN                             JAMA   \n",
       "54207                      NaN                       The Lancet   \n",
       "54274                      NaN                       The Lancet   \n",
       "65629                      NaN  New England Journal of Medicine   \n",
       "62837                      NaN                           Nature   \n",
       "276                        NaN                             JAMA   \n",
       "54202                      NaN                       The Lancet   \n",
       "\n",
       "       publication_year                            doi  \n",
       "54203            2020.0  10.1016/s0140-6736(20)30183-5  \n",
       "65630            2020.0          10.1056/nejmoa2002032  \n",
       "65626            2020.0          10.1056/nejmoa2001017  \n",
       "264              2020.0         10.1001/jama.2020.1585  \n",
       "54207            2020.0  10.1016/s0140-6736(20)30211-7  \n",
       "54274            2020.0  10.1016/s0140-6736(20)30566-3  \n",
       "65629            2020.0          10.1056/nejmoa2001316  \n",
       "62837            2020.0      10.1038/s41586-020-2012-7  \n",
       "276              2020.0         10.1001/jama.2020.2648  \n",
       "54202            2020.0  10.1016/s0140-6736(20)30154-9  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# same but in 2020; note that duplicates are due to SI or pre-prints with different PMIDs\n",
    "\n",
    "df_joined[df_joined.publication_year>2019][[\"title\",\"times_cited\",\"relative_citation_ratio\",\"journal\",\"publication_year\",\"doi\"]].sort_values(\"times_cited\",ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>times_cited</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>journal</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>The Lancet</th>\n",
       "      <td>52488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLoS One</th>\n",
       "      <td>40269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nature</th>\n",
       "      <td>39561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virology</th>\n",
       "      <td>36643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Emerg Infect Dis</th>\n",
       "      <td>35327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Journal of virology</th>\n",
       "      <td>33933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JAMA</th>\n",
       "      <td>28422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Surgical endoscopy</th>\n",
       "      <td>23332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lancet</th>\n",
       "      <td>22943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLoS Pathog</th>\n",
       "      <td>22751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New England Journal of Medicine</th>\n",
       "      <td>21076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The New England journal of medicine</th>\n",
       "      <td>19346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clin Infect Dis</th>\n",
       "      <td>18985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cell</th>\n",
       "      <td>18575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Proceedings of the National Academy of Sciences of the United States of America</th>\n",
       "      <td>17632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>J Infect Dis</th>\n",
       "      <td>16829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arch Virol</th>\n",
       "      <td>16601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nucleic Acids Res</th>\n",
       "      <td>12919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vaccine</th>\n",
       "      <td>11306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virus Research</th>\n",
       "      <td>11275</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    times_cited\n",
       "journal                                                        \n",
       "The Lancet                                                52488\n",
       "PLoS One                                                  40269\n",
       "Nature                                                    39561\n",
       "Virology                                                  36643\n",
       "Emerg Infect Dis                                          35327\n",
       "Journal of virology                                       33933\n",
       "JAMA                                                      28422\n",
       "Surgical endoscopy                                        23332\n",
       "Lancet                                                    22943\n",
       "PLoS Pathog                                               22751\n",
       "New England Journal of Medicine                           21076\n",
       "The New England journal of medicine                       19346\n",
       "Clin Infect Dis                                           18985\n",
       "Cell                                                      18575\n",
       "Proceedings of the National Academy of Sciences...        17632\n",
       "J Infect Dis                                              16829\n",
       "Arch Virol                                                16601\n",
       "Nucleic Acids Res                                         12919\n",
       "Vaccine                                                   11306\n",
       "Virus Research                                            11275"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# most cited journals\n",
    "\n",
    "df_joined[['journal','times_cited']].groupby('journal').sum().sort_values('times_cited',ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# FOR jeywords distribution, TOP\n",
    "\n",
    "df_sub = df_joined[df_joined.for_top.isin(df_joined.for_top.value_counts()[:10].index.tolist())]\n",
    "b = sns.countplot(y=\"for_top\", data=df_sub, order=df_sub['for_top'].value_counts().index)\n",
    "#b.axes.set_title(\"Title\",fontsize=50)\n",
    "b.set_xlabel(\"Publication count\",fontsize=15)\n",
    "b.set_ylabel(\"FOR first level\",fontsize=15)\n",
    "b.tick_params(labelsize=12)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"figures/dim_for_top.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# FOR jeywords distribution, TOP\n",
    "\n",
    "df_sub = df_joined[df_joined.for_bottom.isin(df_joined.for_bottom.value_counts()[:10].index.tolist())]\n",
    "b = sns.countplot(y=\"for_bottom\", data=df_sub, order=df_sub['for_bottom'].value_counts().index)\n",
    "#b.axes.set_title(\"Title\",fontsize=50)\n",
    "b.set_xlabel(\"Publication count\",fontsize=15)\n",
    "b.set_ylabel(\"FOR second level\",fontsize=15)\n",
    "b.tick_params(labelsize=12)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"figures/dim_for_bottom.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "covid",
   "language": "python",
   "name": "covid"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}