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.
Carmelo Zak MacriStephen BacchiSheng Chieh TeohWan Yin LimLydia LamSandy PatelMark SleeRobert J CassonWeng Onn ChanPublished in: Journal of medical Internet research (2023)
Open-source artificial intelligence can predict the impact factor and Eigenfactor score of accepting peer-reviewed journals. Further studies are required to examine the effect on publication success and the time-to-publication of such recommender systems.