Applying social bookmarking data to evaluate journal usage

被引：79

作者：

Haustein, Stefanie ^{[1
,2
]}

Siebenlist, Tobias ^{[2
]}

机构：

[1] Forschungszentrum Julich, Cent Lib, D-52425 Julich, Germany

[2] Univ Dusseldorf, Dept Informat Sci, D-40225 Dusseldorf, Germany

来源：

JOURNAL OF INFORMETRICS | 2011年 / 5卷 / 03期

关键词：

Journal evaluation; Usage statistics; Download data; COUNTER; Reader perception; Social bookmarking; Tagging; Science; 2.0; CiteULike; Connotea; BibSonomy; CITATION ANALYSIS; IMPACT;

D O I：

10.1016/j.joi.2011.04.002

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Web 2.0 technologies are finding their way into academics: specialized social bookmarking services allow researchers to store and share scientific literature online. By bookmarking and tagging articles, academic prosumers generate new information about resources, i.e. usage statistics and content description of scientific journals. Given the lack of global download statistics, the authors propose the application of social bookmarking data to journal evaluation. For a set of 45 physics journals all 13,608 bookmarks from CiteULike, Connotea and BibSonomy to documents published between 2004 and 2008 were analyzed. This article explores bookmarking data in STM and examines in how far it can be used to describe the perception of periodicals by the readership. Four basic indicators are defined, which analyze different aspects of usage: Usage Ratio, Usage Diffusion, Article Usage Intensity and Journal Usage Intensity. Tags are analyzed to describe a reader-specific view on journal content. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：446 / 457

页数：12

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