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  1. Bias in Peer Review.Carole J. Lee, Cassidy R. Sugimoto, Guo Zhang & Blaise Cronin - 2013 - Journal of the American Society for Information Science and Technology 64 (1):2-17.
    Research on bias in peer review examines scholarly communication and funding processes to assess the epistemic and social legitimacy of the mechanisms by which knowledge communities vet and self-regulate their work. Despite vocal concerns, a closer look at the empirical and methodological limitations of research on bias raises questions about the existence and extent of many hypothesized forms of bias. In addition, the notion of bias is predicated on an implicit ideal that, once articulated, raises questions about the normative implications (...)
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  • Optimal research team composition: data envelopment analysis of Fermilab experiments.Slobodan Perovic, Sandro Radovanović, Vlasta Sikimić & Andrea Berber - 2016 - Scientometrics 108 (1):83--111.
    We employ data envelopment analysis on a series of experiments performed in Fermilab, one of the major high-energy physics laboratories in the world, in order to test their efficiency (as measured by publication and citation rates) in terms of variations of team size, number of teams per experiment, and completion time. We present the results and analyze them, focusing in particular on inherent connections between quantitative team composition and diversity, and discuss them in relation to other factors contributing to scientific (...)
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