Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

JP Onnela, D.Sc.

Co-Author

This page shows the publications co-authored by JP Onnela and John Torous.
Connection Strength

5.030
  1. Characterizing the clinical relevance of digital phenotyping data quality with applications to a cohort with schizophrenia. NPJ Digit Med. 2018; 1:15.
    View in: PubMed
    Score: 0.777
  2. New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research. JMIR Ment Health. 2016 May 05; 3(2):e16.
    View in: PubMed
    Score: 0.680
  3. Realizing the potential of mobile mental health: new methods for new data in psychiatry. Curr Psychiatry Rep. 2015 Aug; 17(8):602.
    View in: PubMed
    Score: 0.645
  4. Utilizing a Personal Smartphone Custom App to Assess the Patient Health Questionnaire-9 (PHQ-9) Depressive Symptoms in Patients With Major Depressive Disorder. JMIR Ment Health. 2015 Jan-Mar; 2(1):e8.
    View in: PubMed
    Score: 0.630
  5. Determining sample size and length of follow-up for smartphone-based digital phenotyping studies. J Am Med Inform Assoc. 2020 12 09; 27(12):1844-1849.
    View in: PubMed
    Score: 0.234
  6. Understanding the quality, effectiveness and attributes of top-rated smartphone health apps. Evid Based Ment Health. 2019 Feb; 22(1):4-9.
    View in: PubMed
    Score: 0.205
  7. Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data. J Am Med Inform Assoc. 2018 12 01; 25(12):1669-1674.
    View in: PubMed
    Score: 0.203
  8. A crossroad for validating digital tools in schizophrenia and mental health. NPJ Schizophr. 2018 Apr 06; 4(1):6.
    View in: PubMed
    Score: 0.194
  9. Relapse prediction in schizophrenia through digital phenotyping: a pilot study. Neuropsychopharmacology. 2018 07; 43(8):1660-1666.
    View in: PubMed
    Score: 0.193
  10. A comparison of passive and active estimates of sleep in a cohort with schizophrenia. NPJ Schizophr. 2017 Oct 16; 3(1):37.
    View in: PubMed
    Score: 0.188
  11. A comparison of passive and active estimates of sleep in a cohort with schizophrenia. NPJ Schizophr. 2017; 3:37.
    View in: PubMed
    Score: 0.188
  12. High potential but limited evidence: Using voice data from smartphones to monitor and diagnose mood disorders. Psychiatr Rehabil J. 2017 09; 40(3):320-324.
    View in: PubMed
    Score: 0.186
  13. Characterizing Smartphone Engagement for Schizophrenia: Results of a Naturalist Mobile Health Study. Clin Schizophr Relat Psychoses. 2017 Aug 04.
    View in: PubMed
    Score: 0.185
  14. Methodology and Reporting of Mobile Heath and Smartphone Application Studies for Schizophrenia. Harv Rev Psychiatry. 2017 May/Jun; 25(3):146-154.
    View in: PubMed
    Score: 0.182
  15. New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices. Transl Psychiatry. 2017 03 07; 7(3):e1053.
    View in: PubMed
    Score: 0.180
  16. Digital Phenotyping to Quantify Psychosocial Well-Being Trajectories After Spinal Cord Injury. Am J Phys Med Rehabil. 2020 12; 99(12):1138-1144.
    View in: PubMed
    Score: 0.058
  17. Smartphone-Based Tracking of Sleep in Depression, Anxiety, and Psychotic Disorders. Curr Psychiatry Rep. 2019 06 04; 21(7):49.
    View in: PubMed
    Score: 0.053
  18. The WPA-Lancet Psychiatry Commission on the Future of Psychiatry. Lancet Psychiatry. 2017 10; 4(10):775-818.
    View in: PubMed
    Score: 0.047
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.