{"title":"MEDLINE citation tool accuracy: an analysis in two platforms","authors":"Laurel Scheinfeld, Sunny Chung","doi":"10.5195/jmla.2024.1718","DOIUrl":null,"url":null,"abstract":"Background: Libraries provide access to databases with auto-cite features embedded into the services; however, the accuracy of these auto-cite buttons is not very high in humanities and social sciences databases. \nCase Presentation: This case compares two biomedical databases, Ovid MEDLINE and PubMed, to see if either is reliable enough to confidently recommend to students for use when writing papers. A total of 60 citations were assessed, 30 citations from each citation generator, based on the top 30 articles in PubMed from 2010 to 2020.\nConclusions: Error rates were higher in Ovid MEDLINE than PubMed but neither database platform provided error free references.The auto-cite tools were not reliable. Zero of the sixty citations examined were 100% correct. Librarians should continue to advise students not to rely solely upon citation generators in these biomedical databases.","PeriodicalId":47690,"journal":{"name":"Journal of the Medical Library Association","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Medical Library Association","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.5195/jmla.2024.1718","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Libraries provide access to databases with auto-cite features embedded into the services; however, the accuracy of these auto-cite buttons is not very high in humanities and social sciences databases.
Case Presentation: This case compares two biomedical databases, Ovid MEDLINE and PubMed, to see if either is reliable enough to confidently recommend to students for use when writing papers. A total of 60 citations were assessed, 30 citations from each citation generator, based on the top 30 articles in PubMed from 2010 to 2020.
Conclusions: Error rates were higher in Ovid MEDLINE than PubMed but neither database platform provided error free references.The auto-cite tools were not reliable. Zero of the sixty citations examined were 100% correct. Librarians should continue to advise students not to rely solely upon citation generators in these biomedical databases.
期刊介绍：
The Journal of the Medical Library Association (JMLA) is an international, peer-reviewed journal published quarterly that aims to advance the practice and research knowledgebase of health sciences librarianship. The most current impact factor for the JMLA (from the 2007 edition of Journal Citation Reports) is 1.392.
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