https://github.com/greenelab/scihub

Source code and data analyses for the Sci-Hub Coverage Study
https://github.com/greenelab/scihub

crossref data-science doi journals libgen open-data sci-hub scimag scopus

Last synced: about 2 months ago
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Source code and data analyses for the Sci-Hub Coverage Study

• Host: GitHub
• URL: https://github.com/greenelab/scihub
• Owner: greenelab
• License: cc0-1.0
• Created: 2017-03-20T15:35:58.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-05-07T18:56:01.000Z (over 3 years ago)
• Last Synced: 2024-06-26T03:34:24.709Z (3 months ago)
• Topics: crossref, data-science, doi, journals, libgen, open-data, sci-hub, scimag, scopus
• Language: Jupyter Notebook
• Homepage: https://greenelab.github.io/scihub
• Size: 18.3 MB
• Stars: 287
• Watchers: 27
• Forks: 37
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

• awesome-libgen - Sci-Hub Statistics - Data analysis tool and Journal/Publisher Coverage Browser (Sci-Hub tools)

README

        
# Analyses for the Sci-Hub Coverage Study

This project investigates the coverage of scholarly literature in the Sci-Hub and LibGen scimag repositories.

It's based on using DOIs to uniquely identify articles.

For more information, see the corresponding study:

> Himmelstein DS, Romero AR, Levernier JG, Munro TA, McLaughlin SR, Greshake Tzovaras B, Greene CS. (2018) [**Sci-Hub provides access to nearly all scholarly literature**](https://doi.org/ckcj). _eLife_ DOI: 10.7554/eLife.32822

The manuscript for this study is continuously built at [`greenelab/scihub-manuscript`](https://github.com/greenelab/scihub-manuscript) with the latest version available at https://greenelab.github.io/scihub-manuscript/.

## Repository structure

The [`webapp`](webapp) directory creates the [Sci-Hub Stats Browser](https://greenelab.github.io/scihub/#/), which is exported to `docs` and hosted via GitHub Pages.

## Environment

This repository uses [conda](http://conda.pydata.org/docs/) to manage its environment as specified in [`environment.yml`](environment.yml).

Install the environment with:

```sh

conda env create --file=environment.yml

```

Then use `source activate scihub` and `source deactivate` to activate or deactivate the environment. On windows, use `activate scihub` and `deactivate` instead.

## Code Review

The Greene Lab has a [code review policy](http://greenelab-onboarding.readthedocs.io/en/latest/coding_and_software.html).

However, this repository has not undergone code review by the lab.

This notice will be removed once the repository has been reviewed.

## Acknowledgements

This work is funded in part by the Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative through Grant [GBMF4552](https://www.moore.org/grant-detail?grantId=GBMF4552) to [**@cgreene**](https://github.com/cgreene "Casey Greene on GitHub").