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

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

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...

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Main Authors: Carmelo Macri (Author), Stephen Bacchi (Author), Sheng Chieh Teoh (Author), Wan Yin Lim (Author), Lydia Lam (Author), Sandy Patel (Author), Mark Slee (Author), Robert Casson (Author), WengOnn Chan (Author)
Format: Book
Published: JMIR Publications, 2023-03-01T00:00:00Z.
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