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

• Główni autorzy: Carmelo Macri (Autor), Stephen Bacchi (Autor), Sheng Chieh Teoh (Autor), Wan Yin Lim (Autor), Lydia Lam (Autor), Sandy Patel (Autor), Mark Slee (Autor), Robert Casson (Autor), WengOnn Chan (Autor)
• Format: Książka
• Wydane: JMIR Publications, 2023-03-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

BackgroundStrategies 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. ObjectiveWe sought to evaluate the perfo...