Global Scientific Research on SARS-CoV-2 Vaccines: A Bibliometric Analysis
Objective: We performed this bibliometric analysis to identify global scientific research on the SARS-CoV-2 vaccines. Materials and Methods: This bibliometric analysis study inclusive search of English-language publications related to the SARS-CoV-2 vaccines was conducted in the Scopus, PubMed, and...
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Royan Institute (ACECR), Tehran
2021
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oai:doaj.org-article:9e63028ce93340a98bea5f1423abfad22021-11-07T07:11:25ZGlobal Scientific Research on SARS-CoV-2 Vaccines: A Bibliometric Analysis10.22074/cellj.2021.77942228-58062228-5814https://doaj.org/article/9e63028ce93340a98bea5f1423abfad22021-10-01T00:00:00Zhttps://celljournal.org/journal/article/fulltext/global-scientific-research-on-covid-19-sarscov-2-vaccine-a-bibliometric-analysis.pdfhttps://doaj.org/toc/2228-5806https://doaj.org/toc/2228-5814Objective: We performed this bibliometric analysis to identify global scientific research on the SARS-CoV-2 vaccines. Materials and Methods: This bibliometric analysis study inclusive search of English-language publications related to the SARS-CoV-2 vaccines was conducted in the Scopus, PubMed, and Dimensions databases without year limitations. The results of bibliometric analysis comprised a time-dependent citation density trend, the name of the journal, journal impact factor (IF), year of publication, type of article, category, subscription or affiliation, co-authorship, and cooccurrence network. Results: A study of the scientific literature from three databases (Scopus, PubMed, Dimensions) shows that investigators have focused more on studying the structure of the coronavirus at different levels (organismic, cellular, and molecular). In addition, the method of virus penetration into the cell and features of the influence of coronavirus on animals are well-studied. Various methods and strategies are being used to develop the vaccines, including both animal-tested methods and computer models. The Dimensions database is the most representative in terms of coverage of research on development of the SARS-CoV-2 vaccines. Conclusion: This research is a scientific investigation based on bibliometric analysis of papers related to the SARS-CoV-2 vaccines. The Dimensions database provides the most representative research coverage on the creation of a vaccine against coronavirus. It is characterized by a large number of formed verbose terms (length of more than four words) related to coronavirus, which makes it possible to track trends in the development of methods for creating a vaccine.Fakher RahimAida KhakimovaAmmar EbrahimiOleg ZolotarevFatemeh Rafiei NasabRoyan Institute (ACECR), Tehranarticlebibliometric analysiscovid-19/sars-cov-2vaccineMedicineRScienceQENCell Journal, Vol 23, Iss 5, Pp 523-531 (2021) |
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bibliometric analysis covid-19/sars-cov-2 vaccine Medicine R Science Q |
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bibliometric analysis covid-19/sars-cov-2 vaccine Medicine R Science Q Fakher Rahim Aida Khakimova Ammar Ebrahimi Oleg Zolotarev Fatemeh Rafiei Nasab Global Scientific Research on SARS-CoV-2 Vaccines: A Bibliometric Analysis |
description |
Objective: We performed this bibliometric analysis to identify global scientific research on the SARS-CoV-2 vaccines.
Materials and Methods: This bibliometric analysis study inclusive search of English-language publications related to the SARS-CoV-2 vaccines was conducted in the Scopus, PubMed, and Dimensions databases without year limitations.
The results of bibliometric analysis comprised a time-dependent citation density trend, the name of the journal, journal impact factor (IF), year of publication, type of article, category, subscription or affiliation, co-authorship, and cooccurrence network.
Results: A study of the scientific literature from three databases (Scopus, PubMed, Dimensions) shows that investigators have focused more on studying the structure of the coronavirus at different levels (organismic, cellular, and molecular).
In addition, the method of virus penetration into the cell and features of the influence of coronavirus on animals are well-studied. Various methods and strategies are being used to develop the vaccines, including both animal-tested methods and computer models. The Dimensions database is the most representative in terms of coverage of research
on development of the SARS-CoV-2 vaccines.
Conclusion: This research is a scientific investigation based on bibliometric analysis of papers related to the SARS-CoV-2 vaccines. The Dimensions database provides the most representative research coverage on the creation of a vaccine
against coronavirus. It is characterized by a large number of formed verbose terms (length of more than four words) related to coronavirus, which makes it possible to track trends in the development of methods for creating a vaccine. |
format |
article |
author |
Fakher Rahim Aida Khakimova Ammar Ebrahimi Oleg Zolotarev Fatemeh Rafiei Nasab |
author_facet |
Fakher Rahim Aida Khakimova Ammar Ebrahimi Oleg Zolotarev Fatemeh Rafiei Nasab |
author_sort |
Fakher Rahim |
title |
Global Scientific Research on SARS-CoV-2 Vaccines: A Bibliometric Analysis |
title_short |
Global Scientific Research on SARS-CoV-2 Vaccines: A Bibliometric Analysis |
title_full |
Global Scientific Research on SARS-CoV-2 Vaccines: A Bibliometric Analysis |
title_fullStr |
Global Scientific Research on SARS-CoV-2 Vaccines: A Bibliometric Analysis |
title_full_unstemmed |
Global Scientific Research on SARS-CoV-2 Vaccines: A Bibliometric Analysis |
title_sort |
global scientific research on sars-cov-2 vaccines: a bibliometric analysis |
publisher |
Royan Institute (ACECR), Tehran |
publishDate |
2021 |
url |
https://doaj.org/article/9e63028ce93340a98bea5f1423abfad2 |
work_keys_str_mv |
AT fakherrahim globalscientificresearchonsarscov2vaccinesabibliometricanalysis AT aidakhakimova globalscientificresearchonsarscov2vaccinesabibliometricanalysis AT ammarebrahimi globalscientificresearchonsarscov2vaccinesabibliometricanalysis AT olegzolotarev globalscientificresearchonsarscov2vaccinesabibliometricanalysis AT fatemehrafieinasab globalscientificresearchonsarscov2vaccinesabibliometricanalysis |
_version_ |
1718443564350832640 |