{"title":"基于文本分析和CD排序的农村社会学学位论文期刊使用比较","authors":"Stephen Woods, J. Russell","doi":"10.1080/00987913.2023.2174402","DOIUrl":null,"url":null,"abstract":"Abstract Our study compares journal citations from dissertations granted at three universities (Penn State, Cornell, and Auburn) using a novel bibliometric approach: text mining. We first tested the validity of text mining as a method for collecting journal title mentions by comparing text mining results with human-tallied results on a set of dissertations. We then text mined a group of dissertations using a preexisting list of journal titles in order to count journal title mentions in combination with the number of dissertations citing each title. The combination of journal title mentions and number of citing dissertations created a ranking for comparison across institutions. Our study presents text mining as a reliable and less time-intensive option for certain types of bibliometric analyses and also shows the utility of a ranked score approach (CD rank) for making cross-institutional citation comparisons.","PeriodicalId":54165,"journal":{"name":"Serials Review","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of Journal Usage in Rural Sociology Dissertations Using Text Analysis and CD Rank\",\"authors\":\"Stephen Woods, J. Russell\",\"doi\":\"10.1080/00987913.2023.2174402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Our study compares journal citations from dissertations granted at three universities (Penn State, Cornell, and Auburn) using a novel bibliometric approach: text mining. We first tested the validity of text mining as a method for collecting journal title mentions by comparing text mining results with human-tallied results on a set of dissertations. We then text mined a group of dissertations using a preexisting list of journal titles in order to count journal title mentions in combination with the number of dissertations citing each title. The combination of journal title mentions and number of citing dissertations created a ranking for comparison across institutions. Our study presents text mining as a reliable and less time-intensive option for certain types of bibliometric analyses and also shows the utility of a ranked score approach (CD rank) for making cross-institutional citation comparisons.\",\"PeriodicalId\":54165,\"journal\":{\"name\":\"Serials Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-02-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Serials Review\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1080/00987913.2023.2174402\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Serials Review","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/00987913.2023.2174402","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Comparison of Journal Usage in Rural Sociology Dissertations Using Text Analysis and CD Rank
Abstract Our study compares journal citations from dissertations granted at three universities (Penn State, Cornell, and Auburn) using a novel bibliometric approach: text mining. We first tested the validity of text mining as a method for collecting journal title mentions by comparing text mining results with human-tallied results on a set of dissertations. We then text mined a group of dissertations using a preexisting list of journal titles in order to count journal title mentions in combination with the number of dissertations citing each title. The combination of journal title mentions and number of citing dissertations created a ranking for comparison across institutions. Our study presents text mining as a reliable and less time-intensive option for certain types of bibliometric analyses and also shows the utility of a ranked score approach (CD rank) for making cross-institutional citation comparisons.
期刊介绍:
Serials Review, issued quarterly, is a peer-reviewed scholarly journal for the international serials community. Articles focus on serials in the broadest sense of the term and cover all aspects of serials information; regular columns feature interviews, exchanges on controversial topics, book reviews, and conference reports. The journal encompasses practical, theoretical, and visionary ideas for librarians, publishers, vendors, and anyone interested in the changing nature of serials. Serials Review covers all aspects of serials management: format considerations, publishing models, statistical studies, collection analysis, collaborative efforts, reference and access issues, cataloging and acquisitions, people who have shaped the serials community, and topical bibliographic studies.