lit_review_graph helps you find papers that you can't believe you missed.
lit_review_graph is similar to ResearchRabbit or Connected Papers but runs locally and displays the complete reference network for papers in your bibliography.
Explore publications in a connected network:
Find the papers which make up the majority of citations in the network:
PLUS: Find the publications that are highly cited and closely connected to papers in your bibliography.
Clone this repository:
git clone https://github.com/hamishgibbs/lit_review_graph.git
cd lit_review_graph
Create a new virtual environment and install required dependencies:
python -m venv env
source env/bin/activate
pip install -r requirements.txt
Create a text file with a series of DOIs:
bibliography.txt
10.1038/s41586-020-2909-1
10.1140/epjds/s13688-015-0059-8
10.1038/nature06958
10.1038/nature04292
10.1038/srep00457
10.1093/infdis/jiw273
10.1126/science.286.5439.509
Run the app and point it to your bibliography:
python src/app.py bibliography.txt
Navigate to the app in your browser:
http://127.0.0.1:8050/
lit_review_graph searches all of the references of papers in your bibliography and will struggle with a large network. I recommend dividing your references into small groups (around 5-25 publications) for the most clarity.
When adding a new paper, lit_review_graph may take some time to query the metadata for each of the connected references from Semantic Scholar. Requests are cached in lit_review_graph_cache.sqlite and start-up will be faster after papers have been downloaded.
Semantic Scholar is a great free resource for citation data but information for some papers (particularly older papers) may be missing or incomplete.
Contributions are welcome.
If you encounter an error, please open an issue and if possible, include the DOIs used to seed your graph. This will make it easier to identify issues with data coming from Semantic Scholar.
To debug the app, you can also inspect get_metadata.log for any papers that failed to download, or re-download papers by deleting lit_review_graph_cache.sqlite.