2025
Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals
Rosenblatt M, Mehta S, Peterson H, Dadashkarimi J, Rodriguez R, Foster M, Adkinson B, Liang Q, Kimble V, Ye J, McCusker M, Farruggia M, Rolison M, Westwater M, Jiang R, Noble S, Scheinost D. Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals. ELife 2025, 12: rp88540. PMID: 40366360, PMCID: PMC12077878, DOI: 10.7554/elife.88540.Peer-Reviewed Original ResearchTrends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals
Rosenblatt M, Mehta S, Peterson H, Dadashkarimi J, Rodriguez R, Foster M, Adkinson B, Liang Q, Kimble V, Ye J, McCusker M, Farruggia M, Rolison M, Westwater M, Jiang R, Noble S, Scheinost D. Trends in self-citation rates in high-impact neurology, neuroscience, and psychiatry journals. ELife 2025, 12 DOI: 10.7554/elife.88540.4.Peer-Reviewed Original Research
2024
Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations
Adkinson B, Rosenblatt M, Dadashkarimi J, Tejavibulya L, Jiang R, Noble S, Scheinost D. Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations. Developmental Cognitive Neuroscience 2024, 70: 101464. PMID: 39447452, PMCID: PMC11538622, DOI: 10.1016/j.dcn.2024.101464.Peer-Reviewed Original ResearchBrain-phenotype associationsConnectome-based predictive modelingBrain-behavior associationsPrediction of languagePhiladelphia Neurodevelopmental CohortHealthy Brain NetworkClinical symptom burdenFMRI taskHuman Connectome ProjectExecutive functionBehavioral measuresDevelopmental populationsNeurodevelopmental CohortBrain networksDevelopmental sampleConnectome ProjectResearch settingsGeneralizabilitySymptom burdenExternal validationFMRIClinical settingAssociationEthnic minority representationTask
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