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Currently submitted to: Journal of Medical Internet Research

Date Submitted: Jan 6, 2021
Open Peer Review Period: Jan 6, 2021 - Mar 3, 2021
(currently open for review)

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Online Platform for Visual COVID-19 Literature Interactive Discovery

  • Addy Moran; 
  • Shawn Hampton; 
  • Scott Dowson; 
  • John Dagdelen; 
  • Amalie Trewartha; 
  • Gerbrand Ceder; 
  • Kristin Persson; 
  • Elise Saxon; 
  • Andrew Barker; 
  • Lauren Charles; 
  • Bobbie-Jo Webb-Robertson



The rate of publication of COVID-19 literature is astonishing and the research is extremely varied. Innovative tools are needed to aid researchers to find patterns in this vast amount of literature to identify subsets of interest in an automated fashion.


We present a new online software resource with a friendly user interface that allow users to query and interact with visual representations of relationships between publications.


We publicly released an application called PLATIPUS (Publication Literature Analysis and Text Interaction Platform for User Studies) that allows researchers to search, filter, and sort literature supplied by COVIDScholar. This tool contains standard filtering capabilities based on authors, journals, high-level categories, and various research-specific details via natural language processing. At the center of the software is a visual interface that offers a variety of representations of data-driven clusters that dynamically update from a researcher’s query.


PLATIPUS is publicly available online and currently links to over 116,000 publications. This application has the potential to transform how COVID-19 researchers utilize public literature to enable their research.


The PLATIPUS application provides the end-user with a variety of ways to search and filter over one hundred thousand COVID-19 publications. Clinical Trial: N/A


Please cite as:

Moran A, Hampton S, Dowson S, Dagdelen J, Trewartha A, Ceder G, Persson K, Saxon E, Barker A, Charles L, Webb-Robertson B

Online Platform for Visual COVID-19 Literature Interactive Discovery

JMIR Preprints. 06/01/2021:26995

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