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

Machine-learning based prediction of future outcome using multimodal MRI during early childhood

Seminars in Fetal and Neonatal Medicine(2024)10.1016/j.siny.2024.101561Source: DataRank Database

Machine-learning based prediction of future outcome using multimodal MRI during early childhood is a research paper published in Seminars in Fetal and Neonatal Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 10 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access10 citations

Download PDF

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 (6 grants)Impact (FWCI 8.86)OA: bronzeTopics (39)IDs (PubMed, PMC, 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)

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 (5)

Matthew T. Whitehead ORCID,Sovesh Mohapatra ORCID,Tianjia Zhu,Hao Huang ORCID,Minhui Ouyang ORCID

Live enrichment

PubMed:39528363 PMC:PMC11654837 OpenAlex:https://openalex.org/W4404129435

National Institutes of Health

Grant: R01MH092535

National Institutes of Health

Grant: R21MH123930

National Institutes of Health

Grant: R01MH125333

National Institutes of Health

Grant: P50HD105354

National Institutes of Health

Grant: R01EB031284

National Institutes of Health

Grant: R01MH129981

FWCI

8.86

Citation Percentile

1.0%

Citation Trend

2025

2026

bronzeLicense: http://creativecommons.org/licenses/by-nc-nd/4.0/

journalhttps://www.sfnmjournal.com/article/S1744-165X(24)00043-X/pdf

publisherhttps://www.sfnmjournal.com/article/S1744-165X(24)00043-X/pdf

publisherhttps://api.elsevier.com/content/article/PII:S1744165X2400043X?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1744165X2400043X?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.siny.2024.101561

Fields of Study

Neonatal and fetal brain pathologyFunctional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsHumansMachine LearningMagnetic Resonance ImagingMultimodal ImagingBrainChild, PreschoolInfantInfant, NewbornNeurodevelopmental DisordersChild Development

MeSH Terms

Machine LearningBrainChild DevelopmentChild, PreschoolHumansInfantInfant, NewbornMagnetic Resonance ImagingMultimodal ImagingNeurodevelopmental Disorders

Keywords

Outcome (game theory)Multimodal therapyArtificial intelligenceComputer scienceMachine learningPsychologyMathematicsPsychotherapistPredictionFunctional MRIEarly ChildhoodDiffusion MriStructural MriPerfusion MriMultimodal MriFuture Outcome