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: | , , , , , , , , |
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| Format: | Book |
| Published: |
JMIR Publications,
2023-03-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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