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Article: Analyzing knowledge entities about COVID-19 using entitymetrics

TitleAnalyzing knowledge entities about COVID-19 using entitymetrics
Authors
KeywordsCOVID-19
Knowledge graph
Entity
Entitymetrics
Scientific publications
Bibliometrics
Issue Date2021
PublisherSpringer Verlag, co-published with Akademiai Kiado Rt. The Journal's web site is located at http://link.springer.com/journal/11192
Citation
Scientometrics, 2021, v. 126 n. 5, p. 4491-4509 How to Cite?
AbstractCOVID-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.
Persistent Identifierhttp://hdl.handle.net/10722/308401
ISSN
2023 Impact Factor: 3.5
2023 SCImago Journal Rankings: 1.079
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYu, Q-
dc.contributor.authorWang, Q-
dc.contributor.authorZhang, Y-
dc.contributor.authorChen, C-
dc.contributor.authorRyu, H-
dc.contributor.authorPark, N-
dc.contributor.authorBaek, J-
dc.contributor.authorLi, K-
dc.contributor.authorWu, Y-
dc.contributor.authorLi, D-
dc.contributor.authorXu, J-
dc.contributor.authorLiu, M-
dc.contributor.authorYang, JJ-
dc.contributor.authorZhang, C-
dc.contributor.authorLu, C-
dc.contributor.authorZhang, P-
dc.contributor.authorLi, X-
dc.contributor.authorChen, B-
dc.contributor.authorEbeid, IA-
dc.contributor.authorFensel, J-
dc.contributor.authorMin, C-
dc.contributor.authorZhai, Y-
dc.contributor.authorSong, M-
dc.contributor.authorDing, Y-
dc.contributor.authorBu, Y-
dc.date.accessioned2021-12-01T07:52:51Z-
dc.date.available2021-12-01T07:52:51Z-
dc.date.issued2021-
dc.identifier.citationScientometrics, 2021, v. 126 n. 5, p. 4491-4509-
dc.identifier.issn0138-9130-
dc.identifier.urihttp://hdl.handle.net/10722/308401-
dc.description.abstractCOVID-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.-
dc.languageeng-
dc.publisherSpringer Verlag, co-published with Akademiai Kiado Rt. The Journal's web site is located at http://link.springer.com/journal/11192-
dc.relation.ispartofScientometrics-
dc.subjectCOVID-19-
dc.subjectKnowledge graph-
dc.subjectEntity-
dc.subjectEntitymetrics-
dc.subjectScientific publications-
dc.subjectBibliometrics-
dc.titleAnalyzing knowledge entities about COVID-19 using entitymetrics-
dc.typeArticle-
dc.identifier.emailZhang, C: chwzhang@hku.hk-
dc.identifier.authorityZhang, C=rp02693-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1007/s11192-021-03933-y-
dc.identifier.pmid33746309-
dc.identifier.pmcidPMC7953944-
dc.identifier.scopuseid_2-s2.0-85102552744-
dc.identifier.hkuros330655-
dc.identifier.volume126-
dc.identifier.issue5-
dc.identifier.spage4491-
dc.identifier.epage4509-
dc.identifier.isiWOS:000628128900008-
dc.publisher.placeHungary-

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