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Using text mining to glean insights from COVID-19 literature.利用文本挖掘从新冠疫情相关文献中获取见解。
J Inf Sci. 2023 Apr;49(2):373-381. doi: 10.1177/01655515211001661. Epub 2021 Mar 16.
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The causes, impacts and countermeasures of COVID-19 "Infodemic": A systematic review using narrative synthesis.2019冠状病毒病“信息疫情”的成因、影响及应对措施:一项采用叙述性综合法的系统评价
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同行评议文献视角下的新冠疫情

Covid-19 Through the Lens of the Peer-Reviewed Literature.

作者信息

Neal Samuel R, Zheng Cindy

机构信息

Samuel Neal is a Medical student at the University of Aberdeen, currently studying for an MRes in Child Health at the UCL Great Ormond Street Institute of Child Health.

Cindy Zheng is a Medical student at the University of Aberdeen, currently studying for a Master of Public Health.

出版信息

Signif (Oxf). 2020 Jul 29;17(4):10-11. doi: 10.1111/1740-9713.01416. eCollection 2020 Aug.

DOI:10.1111/1740-9713.01416
PMID:37250180
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10016968/
Abstract

What can we learn about the coronavirus pandemic from text-mining the titles of journal papers? By and .

摘要

通过对期刊论文标题进行文本挖掘,我们能从新冠疫情中学到什么?作者:[作者姓名1]和[作者姓名2] 。 (注:原文中“By and.”表述不完整,推测是让补充作者信息,这里按此假设翻译)