ReCiter: An open source, identity-driven, authorship prediction algorithm optimized for academic institutions

Academic institutions need to maintain publication lists for thousands of faculty and other scholars. Automated tools are essential to minimize the need for direct feedback from the scholars themselves who are practically unable to commit necessary effort to keep the data accurate. In relying exclus...

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Detalles Bibliográficos
Autores principales: Albert, Paul J., Dutta, Sarbajit, Lin, Jie, Zhu, Zimeng, Bales, Michael, Johnson, Stephen B., Mansour, Mohammad, Wright, Drew, Wheeler, Terrie R., Cole, Curtis L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016248/
https://www.ncbi.nlm.nih.gov/pubmed/33793563
http://dx.doi.org/10.1371/journal.pone.0244641

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016248/
https://www.ncbi.nlm.nih.gov/pubmed/33793563
http://dx.doi.org/10.1371/journal.pone.0244641

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