PubChase

PubChase

PubChase is a free web-based recommendation engine that helps researchers find relevant scientific publications. It analyzes a researcher's publications and citations to generate personalized recommendations for similar papers.
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recommendations citations publications research

PubChase: Free Scientific Publication Recommendation Engine

Discover relevant scientific publications with PubChase, a free web-based recommendation engine that analyzes your research history and citations for personalized paper recommendations.

What is PubChase?

PubChase is a free web-based recommendation engine that helps researchers discover relevant scientific publications. It was developed by researchers at Microsoft and launched in 2020.

Here's how PubChase works: Users sign up with a Microsoft, Google, or Facebook account and import their publication history. PubChase analyzes a researcher's publications, journals they publish in, references, citations, and academic genealogy to build a researcher profile. It then scours literature databases to find similar papers that may be of interest.

Key features of PubChase include:

  • Personalized paper recommendations based on a user's academic profile and publication history
  • Ability to mark papers as 'of interest' to further refine future recommendations
  • Full-text and open access filtering options
  • Pagination for easily browsing search results
  • One-click importing of papers to reference managers like EndNote

By quickly surfacing relevant yet overlooked papers, PubChase aims to help accelerate scientific discovery and literature review efficiency for academics and researchers across disciplines.

PubChase Features

Features

  1. Personalized publication recommendations based on research interests
  2. Citation and publication history analysis
  3. Ability to save and organize recommended papers
  4. Email alerts for new relevant publications
  5. Integration with reference management tools

Pricing

  • Free

Pros

Free to use

Helps researchers discover relevant literature

Customized recommendations based on individual research profiles

Saves time in finding and organizing relevant publications

Cons

Limited to scientific publications, may not cover all research areas

Recommendations may not always be accurate or comprehensive

Requires manual curation of publication and citation data


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