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

Uncovering Treatment Response Patterns with Topological Clustering of Brain Networks

Uncovering Treatment Response Patterns with Topological Clustering of Brain Networks is a research paper (2025). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

0 citations

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 (1 grants)Impact (FWCI 0.00)OA: closedTopics (9)IDs (PubMed, OpenAlex)

Context only (not used in score)

Findable (1/2)

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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

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

Live enrichment

NIH

Grant: R01DC017162,R01DC01716202S1

FWCI

0.00

Citation Percentile

0.7%

closedLicense: https://doi.org/10.15223/policy-029

Fields of Study

Functional Brain Connectivity StudiesTopological and Geometric Data AnalysisCognitive Science and Education Research

Keywords

Cluster analysisTopological data analysisFeature (linguistics)Topology (electrical circuits)Pattern recognition (psychology)Artificial neural network