BIP4COVID19: Releasing impact measures for articles relevant to COVID-19

Q1-390 Science (General) 05 social sciences 0202 electrical engineering, electronic engineering, information engineering 02 engineering and technology 0509 other social sciences 3. Good health
DOI: 10.1101/2020.04.11.037093 Publication Date: 2020-04-12T13:04:28Z
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. Additionally, we provide a publicly accessible Web interface on top of our data, allowing the exploration of the publications based on the computed indicators.
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