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10.1016/j.dib.2020.106520

http://scihub22266oqcxt.onion/10.1016/j.dib.2020.106520
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suck abstract from ncbi


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pmid33294517      Data+Brief 2020 ; 33 (ä): 106520
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  • A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences #MMPMID33294517
  • Shaukat K; Alam TM; Hameed IA; Luo S; Li J; Aujla GK; Iqbal F
  • Data Brief 2020[Dec]; 33 (ä): 106520 PMID33294517show ga
  • 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.
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