This project presents an interactive dashboard that analyzes a Mendeley reference library directly in the browser. It reads a standard BibTeX export, extracts bibliometric fields, and applies TF-IDF text mining and topic clustering to reveal the main research themes, following the workflow of Abuella (2024), Automating Academic Document Analysis with ChatGPT: A Mendeley Case.
Interactive Dashboard
The dashboard loads the latest .bib file from its repository automatically. You can explore word clouds, publication trends by year, document type, venue and author, discovered topic clusters and their evolution, and a searchable document table, all with PNG, PDF, TXT and CSV exports:
Open the interactive dashboard in a new tab ↗
Open the interactive dashboard in a new tab ↗
Code & Resources
The dashboard code and the Mendeley BibTeX database are open-source. To refresh the analysis, add a newer .bib export to the repository and the dashboard picks it up:
- GitHub Repository: Mendeley_Analytics_Dashboard ↗
Note: For the best experience, use a desktop or tablet browser to interact with the dashboard.