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Direct linkRestrepo, Silvia; ter Horst, Enrique; Zambrano, Juan Diego; Gunn, Laura H.; Molina, German; Salazar, Carlos Andres – Education for Information, 2022
This manuscript builds on a novel, automatic, freely-available Bayesian approach to extract information in abstracts and titles to classify research topics by quartile. This approach is demonstrated for all N= 149,129 ISI-indexed publications in biological sciences journals during 2017. A Bayesian multinomial inverse regression approach is used to…
Descriptors: Bayesian Statistics, Biological Sciences, Trend Analysis, Classification
