www.gu.se download data versus traditional impact metrics : measuring impact in a sample of...

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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

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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 49

DISS 2 899 265 0,94 3

DISS 3 857 617 0,95 6

DISS 4 794 404 0,38 17

DISS 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!

Urban.Andersson@ub.gu.se

Jonas.Gilbert@ub.gu.se

Karin.Henning@ub.gu.se