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dc.contributor.authorNatt, Avtaren
dc.date.accessioned2017-11-02T10:04:22Z
dc.date.available2017-11-02T10:04:22Z
dc.date.issued2017-10-31
dc.identifier.citationNatt A (2017) 'The methodology used for the Times Higher Education World University Rankings’ citations metric can distort benchmarking'. LSE Impact Blog.en
dc.identifier.urihttp://hdl.handle.net/10547/622340
dc.description.abstractLSE Impact Blog The Times Higher Education World University Rankings can influence an institution’s reputation and even its future revenues. However, Avtar Natt argues that the methodology used to calculate its citation metrics can have the effect of distorting benchmarking exercises. The fractional counting approach applied to only a select number of papers with high author numbers has led to a situation whereby the methodologists have unintentionally discriminated against certain types of big science paper. This raises questions about the benchmarking and also reiterates the importance of such rankings maintaining transparency in their data and methods.
dc.language.isoenen
dc.relation.urlhttp://blogs.lse.ac.uk/impactofsocialsciences/2017/10/31/the-methodology-used-for-the-times-higher-education-world-university-rankings-citations-metric-can-distort-benchmarking/en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectcitationsen
dc.subjectuniversity rankingen
dc.titleThe methodology used for the Times Higher Education World University Rankings’ citations metric can distort benchmarkingen
dc.typeOtheren
dc.contributor.departmentUniversity of Bedfordshireen
dc.identifier.journalLSE Impact Blogen
dc.date.updated2017-11-02T09:52:15Z
dc.description.noteCreative Commons Attribution 3.0
html.description.abstractLSE Impact Blog The Times Higher Education World University Rankings can influence an institution’s reputation and even its future revenues. However, Avtar Natt argues that the methodology used to calculate its citation metrics can have the effect of distorting benchmarking exercises. The fractional counting approach applied to only a select number of papers with high author numbers has led to a situation whereby the methodologists have unintentionally discriminated against certain types of big science paper. This raises questions about the benchmarking and also reiterates the importance of such rankings maintaining transparency in their data and methods.


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