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

Voxel-based morphometry reveals reduced grey matter volume in the temporal cortex of developmental prosopagnosics

Brain(2009)10.1093/brain/awp271Source: DataRank Database

Voxel-based morphometry reveals reduced grey matter volume in the temporal cortex of developmental prosopagnosics is a research paper published in Brain (2009). On theSindex it has a DataRank of 0.795. It has been cited 199 times.

N/A

0.795DataRank · unranked

Scored on demand from live citation data

199 citations

Download PDF

Cite:

Linked data & code

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 (3 grants)OA: hybridTopics (53)Linked Datasets (6)DataCite Reuse (6)IDs (PubMed, PMC)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (0/2)

Interoperable (2/2)

DataCite relations
Linked datasets

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.

DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.795

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Authors (9)

Nicholas Furl,Bogdan Draganski ORCID,Nikolaus Weiskopf ORCID,John Stevens,Geoffrey Chern-Yee Tan

Live enrichment

PubMed:19887506 PMC:PMC2792372

Economic and Social Research Council

Grant: ES/E000355/1

Wellcome Trust

Grant: unidentified

unidentified

Wellcome Trust

hybridLicense: cc-by-nc

publisherhttps://academic.oup.com/brain/article-pdf/132/12/3443/13735143/awp271.pdf

repositoryhttp://hdl.handle.net/11858/00-001M-0000-0010-E904-6

repositoryhttp://bura.brunel.ac.uk/handle/2438/8364

repositoryhttp://hdl.handle.net/21.11116/0000-0001-A1BA-7

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/2792372

Fields of Study

03 medical and health sciences0302 clinical medicine0501 psychology and cognitive sciences05 social sciences

MeSH Terms

FaceVisual CortexTemporal LobeVisual PathwaysHumansProsopagnosiaAtrophyMagnetic Resonance ImagingBrain MappingSocial BehaviorPattern Recognition, VisualVisual PerceptionDominance, CerebralImage Processing, Computer-AssistedAdultMiddle AgedFemaleMaleFunctional LateralityYoung Adult

Keywords

AdultMale150610Functional LateralityYoung AdultTemporal cortexImage Processing, Computer-AssistedHumansVisual PathwaysFace recognitionDominance, CerebralSocial BehaviorVisual CortexDevelopmental prosopagnosiaBrain MappingObject recognitionOriginal ArticlesVoxel-based morphometryMiddle AgedMagnetic Resonance ImagingTemporal LobeProsopagnosiaPattern Recognition, VisualFaceVisual PerceptionPerceptionFemaleAtrophy

Additional file 1 of Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol

10.6084/m9.figshare.25940077.v1figshare

10.6084/m9.figshare.25940077.v2figshare

10.6084/m9.figshare.25940077figshare

Additional file 2 of Characterising illness stages and recovery trajectories of eating disorders in young people via remote measurement technology (STORY): a multi-centre prospective cohort study protocol

10.6084/m9.figshare.25940235.v1figshare

10.6084/m9.figshare.25940235.v2figshare

10.6084/m9.figshare.25940235figshare

Voxel-based morphometry reveals reduced grey matter volume in the temporal cortex of developmental prosopagnosics

FAIR Checklist

DataRank Breakdown

Authors (9)

Funding (3 grants)

Open Access

Topics

Linked Datasets (6)