- Title
- A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences
- Creator
- Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Luo, Suhuai; Li, Jiaming; Aujla, Gagandeep Kaur; Iqbal, Farhat
- Relation
- Data in Brief Vol. 33, Issue December 2020, no. 106520
- Publisher Link
- http://dx.doi.org/10.1016/j.dib.2020.106520
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2020
- 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.
- Subject
- coronavirus; COVID-19; SARS; pandemic; social sciences; SARS-CoV-2
- Identifier
- http://hdl.handle.net/1959.13/1424320
- Identifier
- uon:38055
- Identifier
- ISSN:2352-3409
- Rights
- © 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ).
- Language
- eng
- Full Text
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