appeer

(Experimental) code for getting statistics of the length of peer review. Currently, only RSC analysis is being implemented.

Installation

The following installation procedure was tested:

conda create -n appeer python=3.13
conda activate appeer
python -m pip install -e .

After installation, run

appeer init

To be able to run tests, use the following command:

python -m pip install -e .[test]

To run tests, simply type:

pytest

Usage

Article HTMLs can be downloaded from URLs stored in a file using:

appeer scrape [OPTIONS] FILENAME

To see all appeer scrape options, use

appeer scrape --help

The input file can be either a JSON file or a text file each URL written in a new line. The URLs can be written either as a full URL or a DOI. E.g., the following entries are equally valid:

https://pubs.rsc.org/en/content/articlelanding/2023/ob/d3ob00424d
10.1039/D3OB00424D

Invalid URL entries will be automatically skipped. For an example text file containing URLs, check src/appeer/tests/sample_data/example_publications.txt. To download the HTMLs from this text file, simply use

appeer scrape example_publications.txt

A JSON file containing article URLs can be easily generated using Publish or Perish. For an example JSON, check src/appeer/tests/sample_data/example_PoP.json.

The HTMLs downloaded using the sample example_POP.json are given in src/appeer/tests/sample_data/htmls.

To clean various default appeer directories, type

appeer clean --help