<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(13)</volume><submitter>Yu Y</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>As a global pandemic, COVID-19 has aroused great concern in the last few months and a growing number of related researches have been published. Therefore, a bibliometric analysis of these publications may provide a direction of hot topics and future research trends.&lt;h4>Methods&lt;/h4>The global literatures about COVID-19 published between 2019 and 2020 were scanned in the Web of Science collection database. "COVID-19" "Novel Coronavirus" "2019-nCoV" and "SARS-CoV-2" were used as the keywords to reach the relevant publications. VOSviewer was applied to perform the bibliometric analysis of these articles.&lt;h4>Results&lt;/h4>Totally 3,626 publications on the topic of COVID-19 were identified and "COVID-19" with a total link strength of 2,649 appeared as the most frequent keyword, </pubmed_abstract><journal>Annals of translational medicine</journal><pagination>816</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7396244</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A bibliometric analysis using VOSviewer of publications on COVID-19.</pubmed_title><pmcid>PMC7396244</pmcid><pubmed_authors>Zha Q</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Yang L</pubmed_authors><pubmed_authors>Zhang Z</pubmed_authors><pubmed_authors>Gu Z</pubmed_authors><pubmed_authors>Zhong H</pubmed_authors><pubmed_authors>Chen E</pubmed_authors><pubmed_authors>Yu Y</pubmed_authors><pubmed_authors>Zhu C</pubmed_authors></additional><is_claimable>false</is_claimable><name>A bibliometric analysis using VOSviewer of publications on COVID-19.</name><description>&lt;h4>Background&lt;/h4>As a global pandemic, COVID-19 has aroused great concern in the last few months and a growing number of related researches have been published. Therefore, a bibliometric analysis of these publications may provide a direction of hot topics and future research trends.&lt;h4>Methods&lt;/h4>The global literatures about COVID-19 published between 2019 and 2020 were scanned in the Web of Science collection database. "COVID-19" "Novel Coronavirus" "2019-nCoV" and "SARS-CoV-2" were used as the keywords to reach the relevant publications. VOSviewer was applied to perform the bibliometric analysis of these articles.&lt;h4>Results&lt;/h4>Totally 3,626 publications on the topic of COVID-19 were identified and "COVID-19" with a total link strength of 2,649 appeared as the most frequent keyword, </description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Jul</publication><modification>2025-04-25T17:40:13.869Z</modification><creation>2025-04-06T06:17:40.152Z</creation></dates><accession>S-EPMC7396244</accession><cross_references><pubmed>32793661</pubmed><doi>10.21037/atm-20-4235</doi></cross_references></HashMap>