PT  - JOURNAL ARTICLE
AU  - Vergoulis, Thanasis
AU  - Kanellos, Ilias
AU  - Chatzopoulos, Serafeim
AU  - Karidi, Danae Pla
AU  - Dalamagas, Theodore
TI  - BIP4COVID19: Releasing impact metrics data for articles relevant to COVID-19
AID  - 10.1101/2020.04.11.037093
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.04.11.037093
4099  - http://biorxiv.org/content/early/2020/04/12/2020.04.11.037093.short
4100  - http://biorxiv.org/content/early/2020/04/12/2020.04.11.037093.full
AB  - Since the beginning of the 2019-20 coronavirus pandemic, a large number of relevant articles has been published or become available in preprint servers. These articles, along with earlier related literature, compose a valuable knowledge base affecting contemporary research studies or, even, government actions to limit the spread of the disease and treatment decisions taken by physicians. However, the number of such articles is increasing at an intense rate making the exploration of the relevant literature and the identification of useful knowledge in it challenging. In this work, we describe BIP4COVID19, an open dataset compiled to facilitate the coronavirus-related literature exploration, by providing various indicators of scientific impact for the relevant articles. Finally, we provide a publicly accessible web interface on top of our data, allowing the exploration of the publications based on the computed indicators.Competing Interest StatementThe authors have declared no competing interest.