research data . Dataset . 2020

BIP4COVID19: Impact metrics and indicators for coronavirus related publications

Thanasis Vergoulis; Ilias Kanellos; Serafeim Chatzopoulos; Danae Pla Karidi; Theodore Dalamagas;
Open Access
  • Published: 01 Jan 2020
  • Publisher: Zenodo
Abstract
This dataset contains impact metrics and indicators for a set of publications that are related to the COVID-19 infectious disease and the coronavirus that causes it. It is based on: Τhe CORD-19 dataset released by the team of Semantic Scholar<sup>1</sup> and Τhe curated data provided by the LitCovid hub<sup>2</sup>. These data have been cleaned and integrated with data from COVID-19-TweetIDs and from other sources (e.g., PMC). The result was dataset of 303,155 unique articles along with relevant metadata (e.g., the underlying citation network). We utilized this dataset to produce, for each article, the values of the following impact measures: <em><strong>Influen...
Subjects
free text keywords: COVID-19, coronavirus, scientometrics, bibliometrics, Biochemistry, Genetics, Science Policy, Plant Biology, 80699 Information Systems not elsewhere classified, Information Systems not elsewhere classified, Pharmacology
Communities
COVID-19
Science and Innovation Policy Studies
Zenodo
Dataset . 2021
Provider: Zenodo
Zenodo
Dataset . 2021
Provider: Zenodo
Zenodo
Dataset . 2020
Provider: Zenodo
Zenodo
Dataset . 2021
Provider: Datacite
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