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Abstract

Bibliometrics has moved well beyond the mere tracking of bibliographic citations. The web enables new ways to measure scholarly productivity and impact, making available tools and data that can reveal patterns of intellectual activity and impact that were previously invisible: mentions, acknowledgments, endorsements, downloads, recommendations, blog posts, tweets. This book describes recent theoretical and practical advances in metrics-based research, examining a variety of alternative metrics -- or "altmetrics" -- while also considering the ethical and cultural consequences of relying on metrics to assess the quality of scholarship. Once the domain of information scientists and mathematicians, bibliometrics is now a fast-growing, multidisciplinary field that ranges from webometrics to scientometrics to influmetrics. The contributors to Beyond Bibliometrics discuss the changing environment of scholarly publishing, the effects of open access and Web 2.0 on genres of discourse, novel analytic methods, and the emergence of next-generation metrics in a performance-conscious age.

Content

Inhalt: Scholars and scripts, spoors and scores / Blaise CroninHistory and evolution of (biblio)metrics / Nicola De Bellis -- The citation : from culture to infrastructure / Paul Wouters -- The data it is me! / Ronald E. Day -- The ethics of evaluative bibliometrics / Jonathan Furner -- Criteria for evaluating indicators / Yves Gingras -- Obliteration by incorporation / Katherine W. McCain -- A network approach to scholarly evaluation / Jevin D. West and Daril A. Vilhena -- Science visualization and discursive knowledge / Loet Leydesdorff -- Measuring interdisciplinarity / Vincent Larivière and Yves Gingras -- Bibliometric standards for evaluating research institutes in the natural sciences / Lutz Bornmann, Benjamin E. Bowman, Jonathan Bauer, Werner Marx, Hermann Schier and Margit Palzenberger -- Identifying and quantifying research strengths using market segmentation / Kevin W. Boyack and Richard Klavans -- Finding and recommending scholarly articles / Michael J. Kurtz and Edwin A. Henneken -- Altmetrics / Jason Priem -- Web impact measures for research assessment / Kayvan Kousha and Mike Thelwall -- Bibliographic references in Web 2.0 / Judit Bar-Illan, Hadas Shema and Mike Thelwall -- Readership metrics / Stefanie Haustein -- Evaluating the work of judges / Peter Hook -- Academic genealogy / Cassidy R. Sugimoto -- A publishing perspective on bibliometrics / Judith Kamalski, Andrew Plume and Mayur Amin -- Science metrics and science policy / Julia Lane, Mark Largent and Rebecca Rosen.

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Abstract

The research evaluation market is booming. "Ranking," "metrics," "h-index," and "impact factors" are reigning buzzwords. Government and research administrators want to evaluate everything -- teachers, professors, training programs, universities -- using quantitative indicators. Among the tools used to measure "research excellence," bibliometrics -- aggregate data on publications and citations -- has become dominant. Bibliometrics is hailed as an "objective" measure of research quality, a quantitative measure more useful than "subjective" and intuitive evaluation methods such as peer review that have been used since scientific papers were first published in the seventeenth century. In this book, Yves Gingras offers a spirited argument against an unquestioning reliance on bibliometrics as an indicator of research quality. Gingras shows that bibliometric rankings have no real scientific validity, rarely measuring what they pretend to. Although the study of publication and citation patterns, at the proper scales, can yield insights on the global dynamics of science over time, ill-defined quantitative indicators often generate perverse and unintended effects on the direction of research. Moreover, abuse of bibliometrics occurs when data is manipulated to boost rankings. Gingras looks at the politics of evaluation and argues that using numbers can be a way to control scientists and diminish their autonomy in the evaluation process. Proposing precise criteria for establishing the validity of indicators at a given scale of analysis, Gingras questions why universities are so eager to let invalid indicators influence their research strategy.

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Date

22. 1.2017 17:12:50