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
Parents
74
Clinical correlates of psychiatric comorbidity in bipolar I patients
Eduard Vieta, Francesc Colom, Bàrbara Corbella et al. · Bipolar Disorders · 2001 · 168 citations
Mixed Features in Patients With a Major Depressive Episode
Giulio Perugi, Jules Angst, Jean-Michel Azorin et al. · The Journal of Clinical Psychiatry · 2015 · 167 citations
1–5 of 74
373
10
h-index
9
h-index
7
h-index
The University of Texas at San Antonio Health Science Center, United States
6 publications · 328 citations
6
h-index
6
h-index
1–5 of 373
249
Universitat de Barcelona
Barcelona, Spain
9 h-index
34 publications
2.1K citations
University Health Network
Toronto, Canada
8 h-index
24 publications
1.8K citations

University of Toronto
Toronto, Canada
8 h-index
18 publications
1.3K citations
Centro de Investigación Biomédica en Red de Salud Mental
Madrid, Spain
7 h-index
21 publications
868 citations

University of Pisa
Pisa, Italy
7 h-index
31 publications
2.4K citations

The University of Texas at San Antonio Health Science Center
San Antonio, United States
6 h-index
20 publications
1.1K citations
Catholic University of Korea
Seoul, South Korea
6 h-index
20 publications
494 citations
Harvard University
Cambridge, United States
5 h-index
11 publications
449 citations
1–8 of 249
13 publications · 594 citations
13
h-index
8 publications · 159 citations
8
h-index
6 publications · 353 citations
6
h-index
4 publications · 307 citations
4
h-index
3 publications · 58 citations
3
h-index
1–5