PNNL

Abstract

The rate of publication of COVID-19 literature is astonishing and the research is extremely varied. Innovative tools are needed to aid researchers in finding 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 have 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 based on a researcher’s query. PLATIPUS is available at https://vcs.pnnl.gov/ 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.