Analysis of the evolution of COVID-19 disease understanding through temporal knowledge graphs.

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Bibliographic Details
Title: Analysis of the evolution of COVID-19 disease understanding through temporal knowledge graphs.
Authors: Negro A; Graph Aware Ltd., London, United Kingdom., Montagna F; Graph Aware Ltd., London, United Kingdom., Teng MN; Division of Allergy and Immunology, Department of Internal Medicine, University of South Florida Morsani College of Medicine, Tampa, FL, United States., Neal T; Cyber Identity and Behavior Research Laboratory, Department of Computer Science and Engineering, College of Engineering, University of South Florida, Tampa, FL, United States., Thomas S; Advanced Membrane and Materials Bio and Integration Research Laboratory, Department of Electrical Engineering, College of Engineering, University of South Florida, Tampa, FL, United States., King S; Cyber Identity and Behavior Research Laboratory, Department of Computer Science and Engineering, College of Engineering, University of South Florida, Tampa, FL, United States., Khan R; Advanced Membrane and Materials Bio and Integration Research Laboratory, Department of Electrical Engineering, College of Engineering, University of South Florida, Tampa, FL, United States.
Source: Frontiers in research metrics and analytics [Front Res Metr Anal] 2023 Aug 03; Vol. 8, pp. 1204801. Date of Electronic Publication: 2023 Aug 03 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Country of Publication: Switzerland NLM ID: 101718019 Publication Model: eCollection Cited Medium: Internet ISSN: 2504-0537 (Electronic) Linking ISSN: 25040537 NLM ISO Abbreviation: Front Res Metr Anal Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2504-0537
DOI:10.3389/frma.2023.1204801