research data . Dataset . 2020

BIP4COVID19: Impact metrics and indicators for coronavirus related publications

Name: BIP4COVID19: Impact metrics and indicators for coronavirus related publications
Keywords: COVID-19, coronavirus, scientometrics, bibliometrics, Biochemistry, Genetics, Science Policy, Plant Biology, 80699 Information Systems not elsewhere classified, Pharmacology

Thanasis Vergoulis; Ilias Kanellos; Serafeim Chatzopoulos; Danae Pla Karidi; Theodore Dalamagas;

Open Access

Published: 16 Jul 2020

Publisher: Zenodo

Summary
Related research

Abstract

This dataset contains impact metrics and indicators for a set of publications that are related to the <a href="https://en.wikipedia.org/wiki/Coronavirus_disease_2019">COVID-19 infectious disease</a> and the coronavirus that causes it. It is based on: <ol> <li>Τhe <a href="https://pages.semanticscholar.org/coronavirus-research">CORD-19 dataset</a> released by the team of <a href="https://www.semanticscholar.org/">Semantic Scholar</a>1 and</li> <li>Τhe curated data provided by the <a href="https://www.ncbi.nlm.nih.gov/research/coronavirus/">LitCovid hub</a>2.</li> </ol> These data have been cleaned and integrated with data f...

Persistent Identifiers

doi: 10.5281/zenodo.3774439 , 10.5281/zenodo.3814361 , 10.5281/zenodo.3732587 , 10.5281/zenodo.4006468 , 10.5281/zenodo.3740566 , 10.5281/zenodo.3747600 , 10.5281/zenodo.3940637 , 10.5281/zenodo.3747809 , 10.5281/zenodo.4359513 , 10.5281/zenodo.3723282 , 10.5281/zenodo.4028880 , 10.5281/zenodo.4269880 , 10.5281/zenodo.4009260 , 10.5281/zenodo.4485677 , 10.5281/zenodo.4432856 , 10.5281/zenodo.4646215 , 10.5281/zenodo.4555117 , 10.5281/zenodo.4017407 , 10.5281/zenodo.3761586 , 10.5281/zenodo.4317829 , 10.5281/zenodo.3948221 , 10.5281/zenodo.4602770 , 10.5281/zenodo.4291741 , 10.5281/zenodo.4194753 , 10.5281/zenodo.4588888 , 10.5281/zenodo.4307701 , 10.5281/zenodo.4510188 , 10.5281/zenodo.3723281 , 10.5281/zenodo.3922999 , 10.5281/zenodo.3931557 , 10.5281/zenodo.4075161 , 10.5281/zenodo.4570815 , 10.5281/zenodo.3900614 , 10.5281/zenodo.4283299 , 10.5281/zenodo.3896203 , 10.5281/zenodo.4058888 , 10.5281/zenodo.4247967 , 10.5281/zenodo.4399927 , 10.5281/zenodo.4063946 , 10.5281/zenodo.4537829 , 10.5281/zenodo.3966425 , 10.5281/zenodo.3838623 , 10.5281/zenodo.4447453 , 10.5281/zenodo.4099186 , 10.5281/zenodo.4133835 , 10.5281/zenodo.4626176 , 10.5281/zenodo.4459802 , 10.5281/zenodo.4040713 , 10.5281/zenodo.4660003 , 10.5281/zenodo.4384716

Subjects

free text keywords: COVID-19, coronavirus, scientometrics, bibliometrics, Biochemistry, Genetics, Science Policy, Plant Biology, 80699 Information Systems not elsewhere classified, Pharmacology

Communities

COVID-19

Science and Innovation Policy Studies

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