论文标题
COVID-19出版物：数据库覆盖范围，引用，读者，推文，新闻，Facebook Walls，Reddit帖子
COVID-19 publications: Database coverage, citations, readers, tweets, news, Facebook walls, Reddit posts
论文作者
论文摘要
COVID-19-Pandemic要求研究人员快速回应，以帮助解决生物学，医学和公共卫生问题，以最大程度地减少其影响。在这种迅速发展的环境中，学者，专业人士和公众可能需要快速识别重要的新研究。作为回应，本文评估了3月21日至2020年4月18日的学术数据库和影响指标的覆盖范围。结果证实了研究量的迅速增加，研究量尤其可以通过Google Scholar和Dimensions访问，而通过Scopus较少，Scopus，Scopus，Scopus，Scopus，Scopus，Web of Science，PubMed。 21,395个层面上的一些共同论文已经被引用了，并引起了人们的重大关注和社交媒体的关注。对于这个主题，与以前的研究相反，至少在短期内，社交网络中共有的文章与引文数量共享的文章之间似乎存在很高的融合。特别是，在第一个索引的那天广泛发推文的文章可能会被高度阅读，并在三个星期后引用相对较高的引用。需要广泛的范围文献搜索（而不是以健康为中心的PubMed或MedRxiv搜索）的研究人员应从Google Scholar或Dimensions开始，并且可以使用Tweet和Mendeley Reader计数作为可能重要性的指标。
The COVID-19 pandemic requires a fast response from researchers to help address biological, medical and public health issues to minimize its impact. In this rapidly evolving context, scholars, professionals and the public may need to quickly identify important new studies. In response, this paper assesses the coverage of scholarly databases and impact indicators during 21 March to 18 April 2020. The results confirm a rapid increase in the volume of research, which particularly accessible through Google Scholar and Dimensions, and less through Scopus, the Web of Science, PubMed. A few COVID-19 papers from the 21,395 in Dimensions were already highly cited, with substantial news and social media attention. For this topic, in contrast to previous studies, there seems to be a high degree of convergence between articles shared in the social web and citation counts, at least in the short term. In particular, articles that are extensively tweeted on the day first indexed are likely to be highly read and relatively highly cited three weeks later. Researchers needing wide scope literature searches (rather than health focused PubMed or medRxiv searches) should start with Google Scholar or Dimensions and can use tweet and Mendeley reader counts as indicators of likely importance.
