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

Addressing concomitant gradient phase errors in time‐interleaved chemical shift‐encoded MRI fat fraction and R2* mapping with a pass‐specific phase fitting method

Magnetic Resonance in Medicine(2022)10.1002/mrm.29175Source: DataRank Database

Addressing concomitant gradient phase errors in time‐interleaved chemical shift‐encoded MRI fat fraction and R2* mapping with a pass‐specific phase fitting method is a research paper published in Magnetic Resonance in Medicine (2022). On theSindex it has a DataRank of 0. It has been cited 6 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access6 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 (21 grants)Topics (21)IDs (PubMed, PMC)

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 (4)

Diego Hernando ORCID,Nikolaos Panagiotopoulos ORCID,Scott B. Reeder ORCID,Nathan Roberts ORCID

Live enrichment

PubMed:35122450 PMC:PMC8957492

National Institutes of Health

Grant: K24 DK102595

National Institutes of Health

Grant: R01 DK083380

National Institutes of Health

Grant: R01 DK088925

National Institutes of Health

Grant: R01 DK100651

National Institutes of Health

Grant: R01 DK117354

National Institutes of Health

Grant: R41 EB025729

National Institutes of Health

Grant: T32CA009206

National Institutes of Health

Grant: UL1TR00427

NCATS NIH HHS

Grant: UL1 TR000427

NCATS NIH HHS

Grant: UL1 TR002373

National Institutes of Health

Grant: 5K24DK102595-04

Evolution of Quantitative MRI Biomarkers of Metabolic Syndrome During Puberty

National Institutes of Health

Grant: 3R01DK088925-02S1

Technical Validation of MRI Biomarkers of Liver Fat

National Institutes of Health

Grant: 5UL1TR000427-08

Institutional Clinical and Translational Science Award

National Institutes of Health

Grant: 5R01DK117354-04

MRI-based Quantitative Susceptibility Mapping of Hepatic Iron Overload

National Institutes of Health

Grant: 5R01DK100651-04

Confounder-Corrected Quantitative MRI Biomarkers of Hepatic

National Institutes of Health

Grant: 5T32CA009206-18

U.W. RADIOLOGICAL SCIENCES TRAINING PROGRAM

National Institutes of Health

Grant: 1R41EB025729-01A1

Quantitative Magnetic Resonance Imaging Phantoms

National Institutes of Health

Grant: 5R01DK083380-04

Technical Development of Quantitative Biomarkers of Fatty Liver Disease with MRI

Wisconsin Alumni Research Foundation

GE Healthcare

University of Wisconsin-Madison

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

LiverAdipose TissueHumansProtonsMagnetic Resonance ImagingReproducibility of ResultsPhantoms, Imaging

Keywords

Iron QuantificationChemical Shift Encoded MriConcomitant GradientsR2* EstimationPdff EstimationAdipose TissueLiverPhantoms, ImagingHumansReproducibility of ResultsProtonsMagnetic Resonance Imaging