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What predicts citation counts and translational impact in headache research? A machine learning analysis.

Antonios DanelakisHelge LangsethParashkev NachevAmy NelsonMarte Helene BjørkManjit Singh MatharuErling TronvikArne MayAnker Stubberud
Published in: Cephalalgia : an international journal of headache (2024)
Citation counts are best predicted by bibliometric data, while models incorporating both bibliometric data and publication content identifies the translational impact of headache research.
Keyphrases
  • machine learning
  • big data
  • electronic health record
  • peripheral blood
  • artificial intelligence
  • genome wide
  • data analysis
  • gene expression
  • deep learning