LitCovid: an open database of COVID-19 literature.
LitCovid: an open database of COVID-19 literature.
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DOI：
10.1093/nar/gkaa952
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发表时间：
2021-01-08
影响因子：
14.9
通讯作者：
Lu Z
中科院分区：
文献类型：
--
作者：
Chen Q;Allot A;Lu Z
自二零二零年疫情爆发以来，有关COVID-19及SARS-CoV-2的已发表文章迅速增长，每月新增约10，000篇。这导致信息过载日益严重，使科学家、医疗保健专业人员和公众难以及时了解最新的SARS-CoV-2和COVID-19研究。因此，我们开发了LitCovid（https：//www.ncbi.nlm.nih.gov/research/coronavirus/），这是一个策划的文献中心，用于跟踪PubMed中的最新科学信息。LitCovid每日更新，将新识别的相关文章组织到精选类别中。为了支持人工策展，先进的机器学习和深度学习算法已经开发、评估并集成到策展工作流程中。据我们所知，LitCovid是首个针对COVID-19的文献资源，其所有收集的文章和精选数据均可免费获取。LitCovid自发布以来得到了广泛使用，全球用户有数百万次访问，以满足各种信息需求，如证据合成、药物发现以及文本和数据挖掘等。
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 professionals and the general public to remain up to date on the latest SARS-CoV-2 and COVID-19 research. Hence, we developed LitCovid (https://www.ncbi.nlm.nih.gov/research/coronavirus/), a curated literature hub, to track up-to-date scientific information in PubMed. LitCovid is updated daily with newly identified relevant articles organized into curated categories. To support manual curation, advanced machine-learning and deep-learning algorithms have been developed, evaluated and integrated into the curation workflow. To the best of our knowledge, LitCovid is the first-of-its-kind COVID-19-specific literature resource, with all of its collected articles and curated data freely available. Since its release, LitCovid has been widely used, with millions of accesses by users worldwide for various information needs, such as evidence synthesis, drug discovery and text and data mining, among others.
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影响因子：
14.9
作者：
Wei CH;Kao HY;Lu Z
通讯作者：
Lu Z
影响因子：
9.8
作者：
Ammari, Mais;Aryamontri, Andrew Chatr;Wood, Valerie
通讯作者：
Wood, Valerie
影响因子：
11.8
作者：
Hanson, Kimberly E.;Caliendo, Angela M.;Mustafa, Reem A.
通讯作者：
Mustafa, Reem A.
DOI：
10.1093/bioinformatics/btz682
发表时间：
2020-02-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Lee J;Yoon W;Kim S;Kim D;Kim S;So CH;Kang J
通讯作者：
Kang J
影响因子：
9.8
作者：
Zhang, Yijia;Chen, Qingyu;Lu, Zhiyong
通讯作者：
Lu, Zhiyong