A deep neural network model for classifying pharmacy practice publications into research domains
PPRDC (https://sadeosun-pprdc.streamlit.app) performed better than gpLLMs in this abstract classification task. Among several other impacts, PPRDC opens a new frontier in bibliometric studies; it will also advance the goals of the Grenada Statements by aiding authors and journal editors in journal selection and article prioritization decisions, respectively.
Authors
- Samuel O. Adeosun (ORCID: https://orcid.org/0000-0002-2331-7911)
- Afua B. Faibille
- Jerotich T. Mutwol
- Taylor McMannen
- A. Qadir
Institutions
- High Point University (US)
Publication Details
- Journal
- Research in Social and Administrative Pharmacy
- Published
- 2024-11-05
- DOI
- https://doi.org/10.1016/j.sapharm.2024.10.009
- Citations
- 2
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.47