← Leaderboards
Emily Kaplan Mower Provost
Butler Hospital (Providence, Ri)
$1,708,365
Attributed
$4,385,280
Total exposure
2
Grants
0
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $745.6K · FY2016–25$1M$750K$500K$250K$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$4,385,280 · 2
By mechanism
R01$4,385,280 · 2
Top collaborators
- Ivan W. Miller5 shared
- Heather Schatten5 shared
- Melvin G Mcinnis2 shared
Most similar at Butler Hospital (Providence, Ri)
Same institution · by research overlap
- Katharine Anne Phillips$9,492,693
- Michael F Armey$6,835,359
- Heather Schatten$2,698,705
- Melanie Bozzay$5,357,481
- Cynthia L Battle$8,466,810
Others in their field
Top investigators on “Sampling”
- David Divins · Consortium For Ocean Leadership, Inc$609,772,544
- Jeffrey P Krischer · University Of South Florida$522,319,685
- David R. Weir · University Of Michigan At Ann Arbor$421,002,438
- David Heimbrook · Leidos Biomedical Research, Inc.$410,224,927
- Eric S Lander · Whitehead Institute For Biomedical Res$395,613,296
- Richard A Gibbs · Baylor College Of Medicine$356,778,395
Research focus
SamplingCollectionParticipantRisk FactorsCostPatient Self-ReportFutureMonitorPersonsProtocols DocumentationTechnologySpeechBipolar DisorderPatternEcological Momentary AssessmentEmotionalMeasurementCharacteristicsCellular PhoneBaseCause Of DeathControlled EnvironmentCaringAffect
Grant awards (7)
Detecting dynamic fluctuations in emotion, mood, and functioning: A digital phenotyping approach to clinical monitoring in bipolar disorder$745,628
R01 · FY2025 · MH
Detecting dynamic fluctuations in emotion, mood, and functioning: A digital phenotyping approach to clinical monitoring in bipolar disorder$734,004
R01 · FY2024 · MH
Predicting Suicide: A Longitudinal Analysis of Speech Patterns in a High Risk Sample$523,059
R01 · FY2020 · MH
Predicting Suicide: A Longitudinal Analysis of Speech Patterns in a High Risk Sample$566,914
R01 · FY2019 · MH
Predicting Suicide: A Longitudinal Analysis of Speech Patterns in a High Risk Sample$573,296
R01 · FY2018 · MH
Predicting Suicide: A Longitudinal Analysis of Speech Patterns in a High Risk Sample$582,462
R01 · FY2017 · MH
Predicting Suicide: A Longitudinal Analysis of Speech Patterns in a High Risk Sample$659,917
R01 · FY2016 · MH