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SciReader*: A Cloud-based Recommender System for Biomedical Literature

By Priya Desai, Natalie Telis, Ben Lehmann, Keith Bettinger, Jonathan K. Pritchard, Somalee Datta

Posted 30 May 2018
bioRxiv DOI: 10.1101/333922

With the growing number of biomedical papers published each year, keeping up with relevant literature has become increasingly important, and yet more challenging. SciReader (www.scireader.com) is a cloud-based personalized recommender system that specifically aims to assist biomedical researchers and clinicians identify publications of interest to them. SciReader uses topic modeling and other machine learning algorithms to provide users with recommendations that are recent, relevant, and of high quality.

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  • Downloaded 870 times
  • Download rankings, all-time:
    • Site-wide: 10,813 out of 73,056
    • In scientific communication and education: 111 out of 514
  • Year to date:
    • Site-wide: 58,537 out of 73,056
  • Since beginning of last month:
    • Site-wide: 58,520 out of 73,056

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