Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis

BACKGROUND: Strategies to improve the selection of appropriate target journals may reduce delays in disseminating research results. Machine learning is increasingly used in content-based recommender algorithms to guide journal submissions for academic articles. OBJECTIVE: We sought to evaluate the p...

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Detalles Bibliográficos
Autores principales: Macri, Carmelo, Bacchi, Stephen, Teoh, Sheng Chieh, Lim, Wan Yin, Lam, Lydia, Patel, Sandy, Slee, Mark, Casson, Robert, Chan, WengOnn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031443/
https://www.ncbi.nlm.nih.gov/pubmed/36881455
http://dx.doi.org/10.2196/42789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031443/
https://www.ncbi.nlm.nih.gov/pubmed/36881455
http://dx.doi.org/10.2196/42789

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