Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Cross‐cohort replicable resting‐state functional connectivity in predicting symptoms and cognition of schizophrenia

Human Brain Mapping(2024)10.1002/hbm.26694Source: DataRank Database

Cross‐cohort replicable resting‐state functional connectivity in predicting symptoms and cognition of schizophrenia is a research paper published in Human Brain Mapping (2024). On theSindex it has a DataRank of 0. It has been cited 15 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access15 citations

Free full text

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)Impact (FWCI 3.59)OA: goldTopics (60)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (10)

Rongtao Jiang ORCID,Juan Bustillo ORCID,Peter Kochunov ORCID,Jessica A. Turner ORCID,Chuang Liang ORCID

Live enrichment

PubMed:38727014 OpenAlex:https://openalex.org/W4396801755

Jiangsu Provincial Key Research and Development Program

Grant: BK20220889

National Institutes of Health

Grant: 62376124

National Institutes of Health

Grant: 62136004

National Institutes of Health

Grant: 82371510

Natural Science Foundation of Jiangsu Province

Grant: BE2023668

National Natural Science Foundation of China

Grant: R01MH118695

National Institutes of Health

Grant: 3R01MH118695-03S1

Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood d

NIMH NIH HHS

Grant: R01 MH121246

FWCI

3.59

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.26694

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.26694

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.26694

journalhttps://doi.org/10.1002/hbm.26694

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38727014

Fields of Study

Functional Brain Connectivity StudiesMental Health Research TopicsNeural dynamics and brain function03 medical and health sciences0302 clinical medicineHumansSchizophreniaMagnetic Resonance ImagingMaleAdultFemaleConnectomeCognitive DysfunctionCohort StudiesNerve NetYoung AdultMiddle Aged

MeSH Terms

AdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetSchizophreniaCohort StudiesYoung AdultCognitive DysfunctionConnectome

Keywords

Schizophrenia (object-oriented programming)CognitionPsychologyResting state fMRINeuroscienceFunctional connectivityPsychiatryMaleAdultMedical SciencesMental and Social Health150610Psychiatry and PsychologyMiddle AgedSocial and Behavioral SciencesMagnetic Resonance ImagingCohort StudiesYoung AdultMedical SpecialtiesMedicine and Health SciencesSchizophreniaConnectomeHumansFemaleCognitive DysfunctionNerve NetResearch ArticlesfMRIpositive/negative symptomsprediction

Sustainable Development Goals

SDG 0: Good health and well-being