{"title":"Pubmed医学主题目(MeSH)检索伊朗牙科拉丁精选期刊文章摘要关键词匹配比较","authors":"S. J. Ghazi-Mirsaeid, F. Masoudi","doi":"10.9790/3013-0704014347","DOIUrl":null,"url":null,"abstract":"Background: This study evaluates the quality of keywords of abstracts of Latin Selected Journals of Iranian Dental indexed in PubMed with Medical Subject Headings (MeSH). Materials and Methods: The study is comparative descriptive. The data gathering tool is a researcher-made checklist. The Statistical population of the study is two Latin Journals of Iranian Dental approved by the Ministry of Health that indexed in PubMed. The Access 2013 software was used to describe data. Results: In total, 866 keywords of 208 articles were studied. On average, 4.2 keywords were in per article of selected Journals. The amount of the Exact match, Relatively match and Not match keywords in selected Journals is 39.5%, 35.8% and 24.8% respectively. More keywords of articles of both selected journals are the type of partial match with MeSH Headings or Entry Terms, and then keywords that are consistent with Entry Terms. Conclusions: Despite the higher rate of consistent keywords of articles of the journal \"J Dent (Tehran)\" to the journal \"Dent Res J (Isfahan)\", the precision in the use of MeSH in both of the selected journal was not at a desirable level and the authors of the selected journals must have more attention in selecting their words index based on MeSH.","PeriodicalId":14540,"journal":{"name":"IOSR Journal of Pharmacy","volume":"39 1","pages":"43-47"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Comparison of the Matching of Keywords of Abstracts of Articles Latin Selected Journals of Iranian Dental Indexed in Pubmed with Medical Subject Headings (MeSH)\",\"authors\":\"S. J. Ghazi-Mirsaeid, F. Masoudi\",\"doi\":\"10.9790/3013-0704014347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: This study evaluates the quality of keywords of abstracts of Latin Selected Journals of Iranian Dental indexed in PubMed with Medical Subject Headings (MeSH). Materials and Methods: The study is comparative descriptive. The data gathering tool is a researcher-made checklist. The Statistical population of the study is two Latin Journals of Iranian Dental approved by the Ministry of Health that indexed in PubMed. The Access 2013 software was used to describe data. Results: In total, 866 keywords of 208 articles were studied. On average, 4.2 keywords were in per article of selected Journals. The amount of the Exact match, Relatively match and Not match keywords in selected Journals is 39.5%, 35.8% and 24.8% respectively. More keywords of articles of both selected journals are the type of partial match with MeSH Headings or Entry Terms, and then keywords that are consistent with Entry Terms. Conclusions: Despite the higher rate of consistent keywords of articles of the journal \\\"J Dent (Tehran)\\\" to the journal \\\"Dent Res J (Isfahan)\\\", the precision in the use of MeSH in both of the selected journal was not at a desirable level and the authors of the selected journals must have more attention in selecting their words index based on MeSH.\",\"PeriodicalId\":14540,\"journal\":{\"name\":\"IOSR Journal of Pharmacy\",\"volume\":\"39 1\",\"pages\":\"43-47\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IOSR Journal of Pharmacy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9790/3013-0704014347\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IOSR Journal of Pharmacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9790/3013-0704014347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
背景:本研究评估了在PubMed与医学主题标题(MeSH)中检索的伊朗牙科拉丁精选期刊摘要的关键词质量。材料与方法:采用比较描述性研究。数据收集工具是研究人员制作的清单。该研究的统计对象是卫生部批准的两本在PubMed索引的伊朗牙科拉丁文期刊。使用Access 2013软件对数据进行描述。结果:共研究了208篇文章的866个关键词。入选期刊平均每篇文章包含4.2个关键词。“完全匹配”、“相对匹配”和“不匹配”关键词在入选期刊中的占比分别为39.5%、35.8%和24.8%。所选期刊文章的关键词更多是与MeSH heading或Entry Terms部分匹配的类型,然后是与Entry Terms一致的类型。结论:尽管“J Dent (Tehran)”期刊的文章与“Dent Res J (Isfahan)”期刊的关键词一致性率较高,但两种期刊在使用MeSH时的精度都不理想,入选期刊的作者在选择基于MeSH的词语索引时必须更加注意。
Comparison of the Matching of Keywords of Abstracts of Articles Latin Selected Journals of Iranian Dental Indexed in Pubmed with Medical Subject Headings (MeSH)
Background: This study evaluates the quality of keywords of abstracts of Latin Selected Journals of Iranian Dental indexed in PubMed with Medical Subject Headings (MeSH). Materials and Methods: The study is comparative descriptive. The data gathering tool is a researcher-made checklist. The Statistical population of the study is two Latin Journals of Iranian Dental approved by the Ministry of Health that indexed in PubMed. The Access 2013 software was used to describe data. Results: In total, 866 keywords of 208 articles were studied. On average, 4.2 keywords were in per article of selected Journals. The amount of the Exact match, Relatively match and Not match keywords in selected Journals is 39.5%, 35.8% and 24.8% respectively. More keywords of articles of both selected journals are the type of partial match with MeSH Headings or Entry Terms, and then keywords that are consistent with Entry Terms. Conclusions: Despite the higher rate of consistent keywords of articles of the journal "J Dent (Tehran)" to the journal "Dent Res J (Isfahan)", the precision in the use of MeSH in both of the selected journal was not at a desirable level and the authors of the selected journals must have more attention in selecting their words index based on MeSH.