Mixed Features Assessment

Mixed Features Assessment is a clinical evaluation framework that belongs to the genus of mood assessment methods and is differentiated by its systematic identification and integration of concurrent manic and depressive symptomatology within mood disorders to improve diagnostic accuracy and treatment planning.

74

Publications

5K

Citations

373

Authors

249

Institutions

Publications per year

2017–2026

39

Authors

373

  1. RS
    Roger S. McIntyre

    University of Toronto, Canada

    10 publications · 588 citations

    10

    h-index

  2. EV
    Eduard Vieta

    Universitat de Barcelona, Spain

    9 publications · 679 citations

    9

    h-index

  3. GP
    Giulio Perugi

    University of Pisa, Italy

    7 publications · 419 citations

    7

    h-index

  4. CL
    Charles L. Bowden

    The University of Texas at San Antonio Health Science Center, United States

    6 publications · 328 citations

    6

    h-index

  5. AH
    Allan H. Young

    King's College London, United Kingdom

    6 publications · 470 citations

    6

    h-index

1–5 of 373

Venues

  1. Journal of Affective Disorders

    13 publications · 594 citations

    13

    h-index

  2. CNS Spectrums

    8 publications · 159 citations

    8

    h-index

  3. Bipolar Disorders

    6 publications · 353 citations

    6

    h-index

  4. The Journal of Clinical Psychiatry

    4 publications · 307 citations

    4

    h-index

  5. Neuropsychiatric Disease and Treatment

    3 publications · 58 citations

    3

    h-index

1–5