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Download data versus traditional impact metrics : Measuring impact in a sample of biomedical doctoral dissertations Urban Andersson, Jonas Gilbert, Karin Henning Gothenburg University Library Gothenburg, Sweden. Gothenburg University Library. Digital Services electronic publishing - PowerPoint PPT Presentation
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Download data versus traditional impact metrics: Measuring impact in a sample of biomedical doctoral dissertations
Urban Andersson, Jonas Gilbert, Karin HenningGothenburg University Library
Gothenburg, Sweden
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Gothenburg University Library
Digital Services electronic publishinge-journals and e-booksdatabasesweb site developmentIT development
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Gothenburg University Library
Bibliometric Services indicators for resource allocation
science mapping collaboration and network analyses citation and performance analyses collection development
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Download data versus traditional impact metrics
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• Are the different methods complementary or correlating?
• How to develop methods to measure the relationship?
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The case – ”Best doctoral thesis”!
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Compilation thesis
Comprehensive summary (50-100 pages)
+
3-6 papers
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Pdf-file for the thesis (comprehensive summary) stored in local repository.
Link to published article at external publishers site.
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Citation data from ISI Web of Science
Field normalized citation scoresExample: Endocrinology Article 2007 20 citations World average 10 citations Field normalized citations score 20/10 = 2
”Times cited”
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Analyzing the data
Number of downloads
Number of views
Average of papers field score
Number of times cited
DISS 1 909 2119 2,76 49DISS 2 899 265 0,94 3DISS 3 857 617 0,95 6DISS 4 794 404 0,38 17DISS 5… 602 678 0,60 6
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Lack of correlation between citations and downloads
Methods compared Correlation score
Citation field data – views data -0,13
Citation field data – download data -0,05
Times cited - views data -0,11
Times cited – download data -0,06
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Additional relationships
• Correlation between peer judgement and citations
• Correlation between PR activities and downloads/views
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Summary
• Providing diverse data (both downloads and citations)
• Visibility
• Enhancement of methods
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Thanks for your attention!
