LitCovid: an open database of COVID-19 literature

Abstract Since the outbreak of the current pandemic in 2020, there has been a rapid growth of published articles on COVID-19 and SARS-CoV-2, with about 10 000 new articles added each month. This is causing an increasingly serious information overload, making it difficult for scientists, healthcare p...

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Vydané v:	Nucleic acids research Ročník 49; číslo D1; s. D1534 - D1540
Hlavní autori:	Chen, Qingyu, Allot, Alexis, Lu, Zhiyong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 08.01.2021
Predmet:	COVID-19 - epidemiology COVID-19 - prevention & control COVID-19 - virology Data Curation - methods Data Curation - statistics & numerical data Data Mining - methods Data Mining - statistics & numerical data Database Issue Databases, Factual Humans Internet Machine Learning Pandemics Publications - statistics & numerical data PubMed - statistics & numerical data SARS-CoV-2 - isolation & purification SARS-CoV-2 - physiology
ISSN:	0305-1048, 1362-4962, 1362-4962
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