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

Compressed sensing fMRI using gradient-recalled echo and EPI sequences

UNC Libraries(2020)10.17615/v63e-mv22Source: DataRank Database

Compressed sensing fMRI using gradient-recalled echo and EPI sequences is a research paper published in UNC Libraries (2020). On theSindex it has a DataRank of 0. It has been cited 3 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access3 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 (5 grants)Impact (FWCI 0.11)OA: greenTopics (30)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 (5)

Seong‐Gi Kim ORCID,Xiaopeng Zong ORCID,Jong Chul Ye ORCID,Ju Young Lee ORCID,Alexander John Poplawsky ORCID

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W4301357483

Wellcome Trust

Grant: unidentified

unidentified

National Institutes of Health

Grant: 2R01EB003324-14

Neurovascular Mechanisms of Layer-specific fMRI

National Institutes of Health

Grant: 5T32MH018273-13

TRAINING IN THE NEUROBIOLOGY OF PSYCHIATRIC DISORDERS

National Institutes of Health

Grant: 5R01EB003375-08

Physiological Basis of Functional MRI Signals

National Institutes of Health

Grant: 3T32NS007391-15S1

Training in the Neurobiology of Neurodegenerative Disease

FWCI

0.11

Citation Percentile

0.6%

Citation Trend

2017

2018

2020

greenLicense: Elsevier TDM

repositoryhttps://doi.org/10.17615/v63e-mv22

https://doi.org/10.1016/j.neuroimage.2014.01.045

https://cdr.lib.unc.edu/downloads/kp78gq308

https://dx.doi.org/10.17615/v63e-mv22

https://pubmed.ncbi.nlm.nih.gov/24495813

Fields of Study

Advanced MRI Techniques and ApplicationsPhotoacoustic and Ultrasonic ImagingNMR spectroscopy and applications03 medical and health sciences0302 clinical medicine

Keywords

Echo (communications protocol)Gradient echoArtificial intelligencePattern recognition (psychology)Computer sciencePsychologyMedicineMagnetic resonance imagingRadiologyMaleBrain MappingEcho-Planar ImagingSensationReproducibility of ResultsSomatosensory CortexData CompressionImage EnhancementMultimodal ImagingSensitivity and SpecificityRatsRats, Sprague-DawleyImage Interpretation, Computer-AssistedAnimalsRAT OLFACTORY-BULB; K-T FOCUSS; MAXIMUM-LIKELIHOOD; FUNCTIONAL MRI; DYNAMIC MRI; RESOLUTION; RECONSTRUCTION; STIMULATIONAlgorithms

Sustainable Development Goals

SDG 3: 3. Good health