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Latent class cluster analysis of symptom ratings identifies distinct subgroups within the clinical high risk for psychosis syndrome

UNC Libraries(2021)10.17615/dmec-ky12Source: DataRank Database

Latent class cluster analysis of symptom ratings identifies distinct subgroups within the clinical high risk for psychosis syndrome is a research paper published in UNC Libraries (2021). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.00)OA: greenTopics (41)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (13)

S.W. Woods,B.A. Cornblatt,C.E. Bearden,J. Addington,D.H. Mathalon

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W4300458797

National Institutes of Health

Grant: 3U01MH081988-05S2

2/8-Predictors and Mechanisms of Conversion to Psychosis

National Institutes of Health

Grant: 5P50MH080272-04

PROJECT 3: ELECTROPHYSIOLOGICAL &GRAY MATTER MARKERS &PREDICTORS OF PROGRESSION

National Institutes of Health

Grant: 5U01MH081857-03

4/8- Predictors & Mechanisms of Conversion to Psychosis

National Institutes of Health

Grant: 5P50MH066286-04

CORE -- PREVENTION RESEARCH PROGRAM

National Institutes of Health

Grant: 5U01MH081902-09

"1/9-Predictors and Mechanisms of Conversion to Psychosis

FWCI

0.00

Citation Percentile

0.3%

greenLicense: Elsevier TDM

repositoryhttps://doi.org/10.17615/dmec-ky12

https://doi.org/10.1016/j.schres.2017.12.001

https://europepmc.org/articles/pmc6015526?pdf=render

https://dx.doi.org/10.17615/dmec-ky12

https://pubmed.ncbi.nlm.nih.gov/29279247

Fields of Study

Mental Health Research TopicsFunctional Brain Connectivity Studies03 medical and health sciences0302 clinical medicine

Keywords

Latent class modelPsychosisCluster (spacecraft)Class (philosophy)PsychologyClinical psychologyPsychiatryStatisticsMathematicsComputer scienceArtificial intelligenceAdultMaleRiskPediatric Research InitiativeAdolescentProdromal SymptomsDisorganization symptomsMedical and Health SciencesYoung AdultRare DiseasesClinical ResearchHumansLongitudinal StudiesFinite mixture modelsProdromePreventionPsychology and Cognitive SciencesBrain DisordersPsychotic DisordersLatent Class AnalysisNorth AmericaSchizophreniaDisease ProgressionMental healthFemaleHeterogeneity