Usage metrics for open access repositories
Borchert, Martin & Richardson, Joanna (2007) Usage metrics for open access repositories. In Richardson, Joanna & Ellis, Allan (Eds.) AusWeb07 : Sic Erat in Fatis, 30 June-4 July 2007, Novotel Pacific Bay Resort, Coffs Harbour, N.S.W.
Recent studies point to an increased focus on metrics / measuring in regard to open access repositories (OAR). Whereas historically the display of download figures for popular content was a way of promoting an OAR within its respective institution, more recently interest has shifted on how to better utilise OAR usage statistics for more formalised purposes. The authors examine the nature of the more commonly used web-based repository approaches, identify their major shortcomings, and describe recent initiatives to enhance functionality. They then discuss citation analysis and proposals to link this to web-based usage statistics, particularly in the context of high-level drivers focused on research quality and effectiveness. The paper concludes by outlining opportunities for institutions to engage with new metric models.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||open access, repositories, usage statistics, citation analysis, metrics|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700)|
|Divisions:||Current > QUT Faculties and Divisions > Division of Technology, Information and Learning Support|
|Copyright Owner:||Conference 2007 [please consult the authors]|
|Deposited On:||13 May 2009 02:28|
|Last Modified:||10 Aug 2011 17:05|
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