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A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences
The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published articles discussing the effect of COVID and SARS on the social sciences from 2003...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691717/ https://www.ncbi.nlm.nih.gov/pubmed/33294517 http://dx.doi.org/10.1016/j.dib.2020.106520 |
_version_ | 1783614353442865152 |
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author | Shaukat, Kamran Alam, Talha Mahboob Hameed, Ibrahim A. Luo, Suhuai Li, Jiaming Aujla, Gagandeep Kaur Iqbal, Farhat |
author_facet | Shaukat, Kamran Alam, Talha Mahboob Hameed, Ibrahim A. Luo, Suhuai Li, Jiaming Aujla, Gagandeep Kaur Iqbal, Farhat |
author_sort | Shaukat, Kamran |
collection | PubMed |
description | The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published articles discussing the effect of COVID and SARS on the social sciences from 2003 to 2020. This dataset collection and analysis highlight the significance and influential aspects, research streams, and themes in this domain. The analysis provides top journals, highly cited articles, mostly used keywords, top affiliation institutes, leading countries based on the citation, potential research streams, a thematic map, and future directions in this area of research. In the future, this dataset will be helpful for every researcher and policymakers to proceed as a starting point to identify the relevant research based on the analysis of 18 years of research in this domain. |
format | Online Article Text |
id | pubmed-7691717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-76917172020-12-07 A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences Shaukat, Kamran Alam, Talha Mahboob Hameed, Ibrahim A. Luo, Suhuai Li, Jiaming Aujla, Gagandeep Kaur Iqbal, Farhat Data Brief Data Article The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published articles discussing the effect of COVID and SARS on the social sciences from 2003 to 2020. This dataset collection and analysis highlight the significance and influential aspects, research streams, and themes in this domain. The analysis provides top journals, highly cited articles, mostly used keywords, top affiliation institutes, leading countries based on the citation, potential research streams, a thematic map, and future directions in this area of research. In the future, this dataset will be helpful for every researcher and policymakers to proceed as a starting point to identify the relevant research based on the analysis of 18 years of research in this domain. Elsevier 2020-11-14 /pmc/articles/PMC7691717/ /pubmed/33294517 http://dx.doi.org/10.1016/j.dib.2020.106520 Text en © 2020 The Author(s). Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Shaukat, Kamran Alam, Talha Mahboob Hameed, Ibrahim A. Luo, Suhuai Li, Jiaming Aujla, Gagandeep Kaur Iqbal, Farhat A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences |
title | A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences |
title_full | A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences |
title_fullStr | A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences |
title_full_unstemmed | A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences |
title_short | A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences |
title_sort | comprehensive dataset for bibliometric analysis of sars and coronavirus impact on social sciences |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691717/ https://www.ncbi.nlm.nih.gov/pubmed/33294517 http://dx.doi.org/10.1016/j.dib.2020.106520 |
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