{"title":"应用文献计量学","authors":"Michael J. Kurtz, Johan Bollen","doi":"10.1002/aris.2010.1440440108","DOIUrl":null,"url":null,"abstract":"Scholarly usage data provides unique opportunities to address the known shortcomings of citation analysis. However, the collection, processing and analysis of usage data remains an area of active research. This article provides a review of the state-of-the-art in usage-based informetric, i.e. the use of usage data to study the scholarly process.","PeriodicalId":55509,"journal":{"name":"Annual Review of Information Science and Technology","volume":"44 1","pages":"1-64"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/aris.2010.1440440108","citationCount":"149","resultStr":"{\"title\":\"Usage bibliometrics\",\"authors\":\"Michael J. Kurtz, Johan Bollen\",\"doi\":\"10.1002/aris.2010.1440440108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scholarly usage data provides unique opportunities to address the known shortcomings of citation analysis. However, the collection, processing and analysis of usage data remains an area of active research. This article provides a review of the state-of-the-art in usage-based informetric, i.e. the use of usage data to study the scholarly process.\",\"PeriodicalId\":55509,\"journal\":{\"name\":\"Annual Review of Information Science and Technology\",\"volume\":\"44 1\",\"pages\":\"1-64\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-01-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/aris.2010.1440440108\",\"citationCount\":\"149\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Review of Information Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/aris.2010.1440440108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Information Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/aris.2010.1440440108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Scholarly usage data provides unique opportunities to address the known shortcomings of citation analysis. However, the collection, processing and analysis of usage data remains an area of active research. This article provides a review of the state-of-the-art in usage-based informetric, i.e. the use of usage data to study the scholarly process.
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