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Online Interactive Platform for COVID-19 Literature Visual Analytics: Platform Development Study.
Moran, Addy; Hampton, Shawn; Dowson, Scott; Dagdelen, John; Trewartha, Amalie; Ceder, Gerbrand; Persson, Kristin; Saxon, Elise; Barker, Andrew; Charles, Lauren; Webb-Robertson, Bobbie-Jo.
  • Moran A; Pacific Northwest National Laboratory, Richland, WA, United States.
  • Hampton S; Pacific Northwest National Laboratory, Richland, WA, United States.
  • Dowson S; Pacific Northwest National Laboratory, Richland, WA, United States.
  • Dagdelen J; Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
  • Trewartha A; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, United States.
  • Ceder G; Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
  • Persson K; Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
  • Saxon E; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, United States.
  • Barker A; Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
  • Charles L; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, United States.
  • Webb-Robertson BJ; Pacific Northwest National Laboratory, Richland, WA, United States.
J Med Internet Res ; 23(7): e26995, 2021 07 16.
Article in English | MEDLINE | ID: covidwho-1341580
ABSTRACT

BACKGROUND:

Papers on COVID-19 are being published at a high rate and concern many different topics. 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.

OBJECTIVE:

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

METHODS:

We publicly released an application called PLATIPUS (Publication Literature Analysis and Text Interaction Platform for User Studies) that allows researchers to interact with literature supplied by COVIDScholar via a visual analytics platform. This tool contains standard filtering capabilities based on authors, journals, high-level categories, and various research-specific details via natural language processing and dozens of customizable visualizations that dynamically update from a researcher's query.

RESULTS:

PLATIPUS is available online and currently links to over 100,000 publications and is still growing. This application has the potential to transform how COVID-19 researchers use public literature to enable their research.

CONCLUSIONS:

The PLATIPUS application provides the end user with a variety of ways to search, filter, and visualize over 100,00 COVID-19 publications.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Image Interpretation, Computer-Assisted / Information Storage and Retrieval / SARS-CoV-2 / COVID-19 Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 26995

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Image Interpretation, Computer-Assisted / Information Storage and Retrieval / SARS-CoV-2 / COVID-19 Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: 26995