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

2020 • BIP4COVID19: Releasing impact measures for articles relevant to COVID-19

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

Venue: Quantitative Science Studies

Type: Publication

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 knowled... (read more)

Impact:

9.660828E-9 3.4093124E-9 7 7

/ Attention: 0 20

Topics: Data science World Wide Web

DOI: 10.1101/2020.04.11.037093

External links: Crossref OpenAIRE

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Topic-specific impact indicators

Popularity:
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Influence:
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citation Count:
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Impulse:
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.