Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics

Wu, M; Zhang, Y; Grosser, M; Tipper, S; Venter, D; Lin, H; Lu, J

Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics

Wu, M Zhang, Y

Grosser, M Tipper, S Venter, D Lin, H Lu, J

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Publisher:: Frontiers Media SA
Publication Type:: Journal Article
Citation:: Frontiers in Research Metrics and Analytics, 2021, 6, pp. 683212
Issue Date:: 2021-05-24

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Field	Value	Language
dc.contributor.author	Wu, M
dc.contributor.author	Zhang, Y https://orcid.org/0000-0002-7731-0301
dc.contributor.author	Grosser, M
dc.contributor.author	Tipper, S
dc.contributor.author	Venter, D
dc.contributor.author	Lin, H
dc.contributor.author	Lu, J
dc.date.accessioned	2021-08-06T05:19:09Z
dc.date.available	2021-05-06
dc.date.available	2021-08-06T05:19:09Z
dc.date.issued	2021-05-24
dc.identifier.citation	Frontiers in Research Metrics and Analytics, 2021, 6, pp. 683212
dc.identifier.issn	2504-0537
dc.identifier.issn	2504-0537
dc.identifier.uri	http://hdl.handle.net/10453/150058
dc.description.abstract	The COVID-19 pandemic constitutes an ongoing worldwide threat to human society and has caused massive impacts on global public health, the economy and the political landscape. The key to gaining control of the disease lies in understanding the genetics of SARS-CoV-2 and the disease spectrum that follows infection. This study leverages traditional and intelligent bibliometric methods to conduct a multi-dimensional analysis on 5,632 COVID-19 genetic research papers, revealing that 1) the key players include research institutions from the United States, China, Britain and Canada; 2) research topics predominantly focus on virus infection mechanisms, virus testing, gene expression related to the immune reactions and patient clinical manifestation; 3) studies originated from the comparison of SARS-CoV-2 to previous human coronaviruses, following which research directions diverge into the analysis of virus molecular structure and genetics, the human immune response, vaccine development and gene expression related to immune responses; and 4) genes that are frequently highlighted include <i>ACE2</i>, <i>IL6</i>, <i>TMPRSS2</i>, and <i>TNF</i>. Emerging genes to the COVID-19 consist of <i>FURIN</i>, <i>CXCL10</i>, <i>OAS1</i>, <i>OAS2</i>, <i>OAS3</i>, and <i>ISG15</i>. This study demonstrates that our suite of novel bibliometric tools could help biomedical researchers follow this rapidly growing field and provide substantial evidence for policymakers' decision-making on science policy and public health administration.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	Frontiers Media SA
dc.relation	23 STRANDS PTY LTD
dc.relation	http://purl.org/au-research/grants/arc/DE190100994
dc.relation.ispartof	Frontiers in Research Metrics and Analytics
dc.relation.isbasedon	10.3389/frma.2021.683212
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics
dc.type	Journal Article
utslib.citation.volume	6
utslib.location.activity	Switzerland
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	open_access	*
dc.date.updated	2021-08-06T05:19:03Z
pubs.publication-status	Published
pubs.volume	6

Abstract:

The COVID-19 pandemic constitutes an ongoing worldwide threat to human society and has caused massive impacts on global public health, the economy and the political landscape. The key to gaining control of the disease lies in understanding the genetics of SARS-CoV-2 and the disease spectrum that follows infection. This study leverages traditional and intelligent bibliometric methods to conduct a multi-dimensional analysis on 5,632 COVID-19 genetic research papers, revealing that 1) the key players include research institutions from the United States, China, Britain and Canada; 2) research topics predominantly focus on virus infection mechanisms, virus testing, gene expression related to the immune reactions and patient clinical manifestation; 3) studies originated from the comparison of SARS-CoV-2 to previous human coronaviruses, following which research directions diverge into the analysis of virus molecular structure and genetics, the human immune response, vaccine development and gene expression related to immune responses; and 4) genes that are frequently highlighted include ACE2, IL6, TMPRSS2, and TNF. Emerging genes to the COVID-19 consist of FURIN, CXCL10, OAS1, OAS2, OAS3, and ISG15. This study demonstrates that our suite of novel bibliometric tools could help biomedical researchers follow this rapidly growing field and provide substantial evidence for policymakers' decision-making on science policy and public health administration.

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http://hdl.handle.net/10453/150058