Marcus P. Zillman, M.S., A.M.H.A. Author/Speaker/Consultant

<$BlogRSDUrl$> Marcus P. Zillman, M.S., A.M.H.A. Author/Speaker/Consultant

Marcus P. Zillman, M.S., A.M.H.A. Author/Speaker/Consultant
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Tuesday, December 01, 2009

Tenurometer - Academic Impact Analysis Tool
http://tenurometer.indiana.edu/

Tenurometer is a social tool to facilitate citation analysis and help evaluate the impact of an author's publications. Since Tenurometer is a browser extension that provides a smart interface for Google Scholar, it does not have the limitations of server based citation analysis tools that sit between the user and Google Scholar. At the same time Tenurometer is not an application, such as Publish or Perish, and therefore it is platform independent and runs on every system that supports the Firefox browser. Still, Tenurometer uses Google Scholar, which provides the most comprehensive source of citation data across the sciences and social sciences. Tenurometer exposes advanced query syntax in a simple way to empower non-experts to submit complex queries such as boolean combinations (and/or/not) of author names and keywords. For example you can search for articles by Jane Smith or JM Smith-White but not JF Smith at Cornell or Stanford. Tenurometer also maintains a history of recent queries to help you remember those complex queries. Tenurometer provides many advanced features that make it easier and less error prone to compute impact measures based on citations. For example, the user can merge multiple versions of the same paper; exclude papers by different authors with the same name, or other noisy data; filter papers by many criteria such as years, disciplines, name variations, and coauthors; and perform live search over the results. The impact measures are dynamically recalculated based on the user's manipulations. Tenurometer is a social (crowdsourcing) application that leverages the wisdom of the crowds. It requires users to tag their queries with one or more discipline names, choosing from predefined ISI subject categories or arbitrary tags. This generates annotations that go into a database, which collects statistics about the various disciplines, such as average number of citations per paper, average number of papers per authors, etc. This data will be made publicly available. The tagging of authors with disciplines allows Tenurometer to compute the new universal h-index hf, proposed by Radicchi, Fortunato and Castellano (doi:10.1073/pnas.0806977105). The universal h-index allows to quantitatively compare the impact of authors in different disciplines, with different citation patterns. Tenurometer also computes other established impact factors such as Hirsch's original h-index (doi:10.1073/pnas.0507655102), Egghe's g-index (to give more weight to publications with many citations, doi:10.1007/s11192-006-0144-7), and Schreiber's hm index (to apportion citations fairly for papers with multiple authors, doi:10.1088/1367-2630/10/4/040201). This has been added to the tools section of Research Resources Subject Tracer™ Information Blog.

posted by Marcus Zillman | 4:00 AM

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