Menage a quoi? Optimal number of peer reviewers
Five reviewers per application represents a practical optimum which avoids large random effects evident when fewer reviewers are used.
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Five reviewers per application represents a practical optimum which avoids large random effects evident when fewer reviewers are used.
"Retrospective analyses of the correlation between percentile scores from peer review and bibliometric indices of the publications resulting from funded grant applications are not valid tests of the predictive validity of peer review at the NIH."
Scientists receive much advice on how to write an effective paper that their colleagues will read, cite, and celebrate. Here we put this advice to the test, and measure the impact of certain features of academic writing on success, as proxied by citations.
Understanding emerging areas of a multidisciplinary research field is crucial for researchers, policymakers and other stakeholders. For them a knowledge structure based on longitudinal bibliographic data can be an effective instrument.
Time for a New Data Presentation Paradigm.
A survey of policies at major research funders found that there is room for more transparency in the process of grant review, which would strengthen the case for the efficiency of public spending on research.
When researchers collect or select data or statistical analyses until nonsignificant results become significant.
This paper analyses the main patterns of five social media metrics as a function of document characteristics (i.e., discipline, document type, title length, number of pages and references) and collaborative practices and compares them to patterns known for citations.
International graduate students and their decisions to stay or leave the U.S. upon graduation.
A systematic review of 98 scholarly papers and an empirical survey among 603 secondary data users develops a conceptual framework that explains the process of data sharing from the primary researcher’s point of view.
A survey of ~ 250 researchers across the sciences and social sciences asks what expectations “data publication” raises and what features would be useful to evaluate the trustworthiness, evaluate the impact, and enhance the prestige of a data publication.