Database of publications about COVID-19 indexed in Scopus

doi: 10.4121/14544384.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14544384
Datacite citation style:
Rojas-Montesino, Eric (2021): Database of publications about COVID-19 indexed in Scopus. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14544384.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
usage stats
1384
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474
downloads
categories
time coverage
10 July 2020
licence
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A search was performed on July 10 2020 in the Scopus database, covering the fields by title, abstract, and keywords, using the terms: COVID19, COVID-19, 2019 novel coronavirus, 2019 nCoV, SARS-CoV-2, 2019 new coronavirus, coronavirus disease 2019 and Wuhan coronavirus. All types of documents were considered. We obtained 26,705 documents, which were used to analyze the productivity, visibility, collaboration, and impact of the publications, in order to offer a clearer insight into the state of research, to know the entities with the greatest contribution to this field, and determine the most relevant studies from a scientometric point of view.
history
  • 2021-05-07 first online, published, posted
publisher
4TU.ResearchData
format
xlsx
organizations
University of Talca, Chile

DATA

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