research data . Dataset . 2021

The growth of COVID-19 scientific literature: A forecast analysis of different daily time series in specific settings

Torres-Salinas, Daniel; Robinson-García, Nicolás; van Schalkwyk, François; Nane, Gabriela F.; Castillo-Valdivieso, Pedro;
Open Access
  • Published: 01 Jan 2021
  • Publisher: Zenodo
Abstract
<p>Submitted to&nbsp;The ISSI 2021 Conference.&nbsp;The conference is organised by KU Leuven in close collaboration with the university of Antwerp under the auspices of ISSI &ndash; the International Society for Informetrics and Scientometrics (<a href="http://www.issi-society.org/">http://www.issi-society.org/</a>).&nbsp;</p> <p>We present a forecasting analysis on the growth of scientific literature related to COVID-19 expected for 2021. Considering the paramount scientific and financial efforts made by the research community to find solutions to end the COVID-19 pandemic, an unprecedented volume of scientific outputs is being produced. This questions the capa...
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Persistent Identifiers

doi: 10.5281/zenodo.4478251

Subjects
free text keywords: forescast, covid, covid19, bibliometrics, dimensions, Growth
Communities
COVID-19
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Dataset . 2021
Provider: Zenodo
Zenodo
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