5 items
Review, rate, and discuss academic papers with other scientists & AI. JRNLClub: The Peer-to-Peer Discussion Network for Scientists Transform your browser into a powerful scientific collaboration tool. JRNLClub allows you to review, rate, and discuss academic papers directly on the journal websites you already visit. Connect with other scientists, share insights, and leverage AI to accelerate your research. KEY FEATURES: 🧠 AI-Powered Summaries - Get instant "TL;DR" summaries of complex papers. - Generate "Reviewer 1" (praise) and "Reviewer 3" (critical questions) perspectives to deepen your understanding. ⭐ Rate & Review - Rate papers on a 5-star scale. - Write detailed reviews to share your expertise. - Upvote helpful reviews from the community. 💬 Community Discussion - Join the conversation on preprints and papers from arXiv, bioRxiv, PubMed, Nature, Science, and more. - See what other scientists are saying about the latest research. 👤 Build Your Profile - Track your contributions and build your reputation. - Earn an "R-index" based on the helpfulness of your reviews. 📚 Seamless Integration - Works automatically on major academic journals and preprint servers. - Lightweight and non-intrusive sidebar interface. Join the JRNLClub community today and make scientific discourse more open, accessible, and collaborative. Privacy Policy: https://github.com/kuanlinhuang/JRNLClub_Public/blob/main/PRIVACY_POLICY.md Contact: luciacansup@gmail.com
May 7, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.