Journal
SCIENTOMETRICS
Volume 126, Issue 5, Pages 4491-4509Publisher
SPRINGER
DOI: 10.1007/s11192-021-03933-y
Keywords
COVID-19; Knowledge graph; Entity; Entitymetrics; Scientific publications; Bibliometrics
Funding
- National Natural Science Foundation of China [71573162]
- Shanxi Scholarship Council of China [HGKY2019057]
- Ministry of Education of the Republic of Korea
- National Research Foundation of Korea [2020S1A5B1104865]
- NSF RAPID [2028717]
- Ministry of Education of China Project of Humanities and Social Sciences [18YJC870002]
- SBE Off Of Multidisciplinary Activities
- Direct For Social, Behav & Economic Scie [2028717] Funding Source: National Science Foundation
- National Research Foundation of Korea [2020S1A5B1104865] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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This paper conducted an entitymetric analysis on COVID-19 literature, revealing ACE-2 and C-reactive protein as significant genes and lopinavir and ritonavir as important chemicals.
COVID-19 cases have surpassed the 109 + million markers, with deaths tallying up to 2.4 million. Tens of thousands of papers regarding COVID-19 have been published along with countless bibliometric analyses done on COVID-19 literature. Despite this, none of the analyses have focused on domain entities occurring in scientific publications. However, analysis of these bio-entities and the relations among them, a strategy called entity metrics, could offer more insights into knowledge usage and diffusion in specific cases. Thus, this paper presents an entitymetric analysis on COVID-19 literature. We construct an entity-entity co-occurrence network and employ network indicators to analyze the extracted entities. We find that ACE-2 and C-reactive protein are two very important genes and that lopinavir and ritonavir are two very important chemicals, regardless of the results from either ranking.
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