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Online Interactive Platform for COVID-19 Literature Visual Analytics: Platform Development Study.

Addy Moran1, Shawn Hampton1, Scott Dowson1

  • 1Pacific Northwest National Laboratory, Richland, WA, United States.

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|June 17, 2021
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Summary
This summary is machine-generated.

Researchers can now explore over 100,000 COVID-19 publications using PLATIPUS, a visual analytics tool. This software aids in identifying patterns and subsets of interest within the vast scientific literature on COVID-19.

Keywords:
COVID-19interactiveliteraturenatural language processingonline platformpatternpublishresearchscientific literaturesoftwaretoolusabilityvisual analytics

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Area of Science:

  • Bibliometrics
  • Information Science
  • Computational Biology

Background:

  • The rapid publication rate of COVID-19 research necessitates advanced tools for literature analysis.
  • Identifying specific research trends and patterns within the vast COVID-19 literature is challenging for researchers.

Purpose of the Study:

  • To introduce PLATIPUS (Publication Literature Analysis and Text Interaction Platform for User Studies), an online visual analytics platform.
  • To provide researchers with an intuitive interface for querying and interacting with COVID-19 publications.

Main Methods:

  • Development and release of the PLATIPUS software.
  • Integration with COVIDScholar to access over 100,000 publications.
  • Implementation of filtering by authors, journals, categories, and NLP-derived details.
  • Inclusion of customizable, dynamic visualizations.

Main Results:

  • PLATIPUS is publicly available online, continuously expanding its publication database.
  • The platform offers diverse methods for searching, filtering, and visualizing COVID-19 literature.
  • Currently links to over 100,000 COVID-19 publications.

Conclusions:

  • PLATIPUS offers a powerful solution for navigating and analyzing the extensive body of COVID-19 research.
  • The tool has the potential to significantly enhance how researchers utilize and interact with scientific literature.
  • Facilitates automated identification of relevant research subsets and patterns.