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Data Set: "One Size Does Not Fit All: Self-Archiving Personas Based On Federally-Funded Researchers At A Mid-Sized Private Institution", Jennifer Bowers, Jenelys Cox, Meg Eastwood, Jack M. Maness
Data Set: "One Size Does Not Fit All: Self-Archiving Personas Based On Federally-Funded Researchers At A Mid-Sized Private Institution", Jennifer Bowers, Jenelys Cox, Meg Eastwood, Jack M. Maness
University Libraries: Data Sets
Data set for the upcoming article "One Size Does Not Fit All: Self-Archiving Personas Based on Federally-Funded Researchers at a Mid-Sized Private Institution."
Article is available at https://digitalcommons.du.edu/libraries_facpub/137 or https://doi.org/10.31274/jlsc.13886.
Unspoken Rules Associated With Publication Success, Jamie Saragossi
Unspoken Rules Associated With Publication Success, Jamie Saragossi
University Libraries Research Data
Large publications, such as the New England Journal of Medicine (NEJM), wield significant influence over clinical practice across all medical specialties. To identify the initial NEJM publications’ characteristics that were associated with a future “significant author” NEJM publication. For this purpose, first, second, and senior author ranks were defined as “significant author” roles.
METHODS: From 2002 – 2019, Medline NEJM original research articles containing a structured abstract were extracted; baseline study characteristics were evaluated as potential predictors of subsequent NEJM successful publication as significant author; the variables evaluated included the index publications’ co-author count, study design (e.g., clinical trial), grant …