Releases: Mkranj/PapersCited
PapersCited 1.3
Download and extract PapersCited.zip, then run PapersCited.exe to start using the program.
Improvements over previous versions
- A brand-new graphical user interface!
- Support for analysing text currently in clipboard
- Results can be exported as .xlsx or .txt files
- Results can now be selected and copy-pasted into other programs without creating new files
PapersCited 1.2.3
PapersCited 1.2.3
Download and extract PapersCited.zip, then run the shortcut to start using the program.
Important
Out of the box, supports working with .docx and .txt files.
If you want to work with .doc and .pdf files, please follow these instructions for adding the required parsers:
help_with_libraries.txt
Improvements over previous versions
- Footnotes in .docx files are now searched for citations, as well as the main text
- When failing to open a file, now prints the exception text
New dependencies
docx2python
PapersCited 1.2.2
PapersCited 1.2.2
Download and extract PapersCited.zip, then run the shortcut to start using the program.
Important
Out of the box, this file supports working with .docx and .txt files.
If you want to work with .doc and .pdf files, please follow these instructions for adding the required parsers:
help_with_libraries.txt
Improvements over previous versions
- You can now process multiple files one after the other, without closing the program! A pop-up window asks the user if he wants to close the program or process another file. This eliminates the need to press Enter in console after finishing work.
- Instead of creating a file called "citations.xlsx", the created file will now be called the same as the original file, with "_citations.xlsx" appended.
This will make it easier to create citations for multiple files in the same directory. - After processing a file, all found citations are listed in the console as a preview.
- .zip file comes with an example.docx so users can experiment with the program and see what the output looks like
- Various typos fixed
PapersCited v1.2.1
PapersCited 1.2.1
The binary file PapersCited_1.2.1.exe contains the latest version of PapersCited. By downloading this file, you can run the program without having Python installed on your machine!
Important
Out of the box, this file supports working with .docx and .txt files.
If you want to work with .doc and .pdf files, please follow these instructions for adding the required parsers:
help_with_libraries.txt
Improvements over previous versions
- Now supports all Unicode letters when detecting authors!
- When several years are listed one after another in the text (Author, 2010; 2011a; 2011b), the program now turns them into separate citations
- Stricter match recognition means reduced frequency of inaccurate citations recorded
- Possesive forms of names now get turned into regular forms (Author's 2010 -> Author 2010), with the added benefit of reducing duplicates
- Long strings of numbers (such as serial numbers or ISSN) now no longer recognised as valid citations
New dependency
PapersCited now requires the regex module.
PapersCited v1.2.0
PapersCited
v1.2.0
To run the program, simply download and run "PapersCited.py" in Python.
For more help and instructions on installing Python, see the README.
New in 1.2.0:
- Detecting citations with three authors
- Detecting citations from authors with two surnames
- Theses "longer" citations are put in a separate column
- Improved support for PDF - more accurate results
- Output formatting improvements
- Bugfixes
PapersCited v1.1.0
PapersCited
v1.1.0
To run the program, simply download and run "PapersCited.py" in Python.
For more help and instructions on installing Python, see the README.
New in 1.1.0:
Certain phrases that are written in a format resembling citations will now no longer be recorded.
E.g. "Members of the team in 2010 found..." - no longer creates a "in 2010" citation.
PapersCited v1.0.0.
PapersCited
v1.0.0
To run the program, simply download and run "PapersCited.py" in Python.
For more help and instructions on installing Python, see the README.
help_with_libraries.txt includes detailed instructions on installing additional libraries for reading .doc and .pdf files. Note that using .pdf files is not recommended!
test.docx is an example document you can use with the programs to see what kinds of sources get successfully detected and what the output looks like.