{"title":"Descriptor and citation retrieval in the Medical Behavioral Sciences literature: Retrieval overlaps and novelty distribution","authors":"K. McCain","doi":"10.1002/(SICI)1097-4571(198903)40:2%3C110::AID-ASI5%3E3.0.CO;2-T","DOIUrl":null,"url":null,"abstract":"Search results for nine topics in the Medical Behavioral Sciences are reanalyzed to compare the overall performance of descriptor and citation search strategies in identifying relevant and novel documents. Overlap percentages between an aggregate \"descriptor-based\" database (MEDLINE, EXCERPTA MEDICA, PSYCINFO) and an aggregate \"citation-based\" database (SCISEARCH, SOCIAL SCISEARCH) ranged from 1% to 26%, with a median overlap of 8% relevant retrievals found using both search strategies. For seven topics in which both descriptor and citation strategies produced reasonably substantial retrievals, two patterns of search performance and novelty distribution were observed: 1) Where descriptor and citation retrieval showed little overlap, novelty retrieval percentages differed by 17-23% between the two strategies; 2) Topics with a relatively high percentage retrieval overlap showed little difference (1-4%) in descriptor and citation novelty retrieval percentages. These results reflect the varying partial congruence of two literature networks and represent two different types of subject relevance.","PeriodicalId":79676,"journal":{"name":"Journal of the American Society for Information Science. American Society for Information Science","volume":"69 1","pages":"110-4"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Society for Information Science. American Society for Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/(SICI)1097-4571(198903)40:2%3C110::AID-ASI5%3E3.0.CO;2-T","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
Abstract
Search results for nine topics in the Medical Behavioral Sciences are reanalyzed to compare the overall performance of descriptor and citation search strategies in identifying relevant and novel documents. Overlap percentages between an aggregate "descriptor-based" database (MEDLINE, EXCERPTA MEDICA, PSYCINFO) and an aggregate "citation-based" database (SCISEARCH, SOCIAL SCISEARCH) ranged from 1% to 26%, with a median overlap of 8% relevant retrievals found using both search strategies. For seven topics in which both descriptor and citation strategies produced reasonably substantial retrievals, two patterns of search performance and novelty distribution were observed: 1) Where descriptor and citation retrieval showed little overlap, novelty retrieval percentages differed by 17-23% between the two strategies; 2) Topics with a relatively high percentage retrieval overlap showed little difference (1-4%) in descriptor and citation novelty retrieval percentages. These results reflect the varying partial congruence of two literature networks and represent two different types of subject relevance.
对医学行为科学中九个主题的搜索结果进行了重新分析,以比较描述符和引文搜索策略在识别相关和新颖文献方面的总体性能。“基于描述符”的综合数据库(MEDLINE,摘录MEDICA, PSYCINFO)和“基于引文”的综合数据库(SCISEARCH, SOCIAL SCISEARCH)之间的重叠百分比从1%到26%不等,使用两种搜索策略发现的相关检索的重叠中位数为8%。在描述词和引文策略均能产生大量检索量的7个主题中,发现两种策略的检索性能和新颖性分布有两种模式:1)在描述词和引文检索很少重叠的主题中,两种策略的新颖性检索百分比相差17-23%;2)检索重叠百分比较高的主题在描述符和引文新颖性检索百分比上差异不大(1-4%)。这些结果反映了两个文献网络的不同部分一致性,并代表了两种不同类型的主题相关性。