New Preprint: “BIP4COVID19: Releasing Impact Metrics Data for Articles Relevant to COVID-19”

The following preprint was posted earlier today (April 12, 2020) on bioRxiv.

Title

BIP4COVID19: Releasing Impact Metrics Data for Articles Relevant to COVID-19

Authors

Thanasis Vergoulis
IMSI “Athena” R.C., Greece

Ilias Kanellos
IMSI “Athena” R.C., Greece

Serafeim Chatzopoulos
IMSI “Athena” R.C., Greece
Univ. of the Peloponnese, Greece

Danae Pla Karidi
IMSI “Athena” R.C., Greece

Theodore Dalamagas
IMSI “Athena” R.C., Greece

Source

via bioRxiv
DOI: 10.1101/2020.04.11.037093

Abstract

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

Direct to Full Text Preprint
9 pages; PDF.

New Resource: BIP! Finder for COVID-19

This version of BIP! Finder aims to ease the exploration of COVID-19-related literature by enabling ranking articles based on various impact metrics.

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