{"title":"A PubMed based bibliometric study on Covid-19 and SARS Corona Virus vaccine and alternative medicine-based research and development","authors":"Jagdish G. Sharma, N. Singh","doi":"10.1080/09737766.2022.2112925","DOIUrl":null,"url":null,"abstract":"The contagious disease “Covid-19” pandemic at the end of 2019 has affected the world. The clinicians and researchers are engaged in the disease’s control, treatment, and care. In the early phase of the outbreak, the alternative medicine system attracted attention as not much knowledge and remedies were available for the disease. Concurrently, vaccine development research was initiated and is still ongoing. The PubMed public domain database specifically devoted to the health science system, along with the iCite database, is used to undertake metric analysis on the above two subject areas. Bibexcel and VOSviewer software are used for the bibliometric analysis of parameters such as language-wise contribution, top journals, most prolific authors, countries, and coorganisations. It’s found that English as a language and the USA as a country are leading across both the subject areas. The inferential analysis reveals that the double-blind peer review system is having a higher positive impact while, among the publication types, observational studies and funded support research studies are significantly influential.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"16 1","pages":"389 - 405"},"PeriodicalIF":1.6000,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"COLLNET Journal of Scientometrics and Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09737766.2022.2112925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The contagious disease “Covid-19” pandemic at the end of 2019 has affected the world. The clinicians and researchers are engaged in the disease’s control, treatment, and care. In the early phase of the outbreak, the alternative medicine system attracted attention as not much knowledge and remedies were available for the disease. Concurrently, vaccine development research was initiated and is still ongoing. The PubMed public domain database specifically devoted to the health science system, along with the iCite database, is used to undertake metric analysis on the above two subject areas. Bibexcel and VOSviewer software are used for the bibliometric analysis of parameters such as language-wise contribution, top journals, most prolific authors, countries, and coorganisations. It’s found that English as a language and the USA as a country are leading across both the subject areas. The inferential analysis reveals that the double-blind peer review system is having a higher positive impact while, among the publication types, observational studies and funded support research studies are significantly influential.