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

Percentage brain volume change in multiple sclerosis mainly reflects white matter and cortical volume

Annals of Clinical and Translational Neurology(2022)10.1002/acn3.51700Source: DataRank Database

Percentage brain volume change in multiple sclerosis mainly reflects white matter and cortical volume is a research paper published in Annals of Clinical and Translational Neurology (2022). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 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 (8 grants)Impact (FWCI 0.27)OA: goldTopics (32)IDs (PubMed, PMC, 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 (9)

Matthias Bussas ORCID,Viola Pongratz ORCID,Achim Berthele ORCID,Jan S. Kirschke ORCID,Benedikt Wiestler ORCID

Live enrichment

PubMed:36427289 PMC:PMC9852382 OpenAlex:https://openalex.org/W4310082970

Deutsche Forschungsgemeinschaft

Grant: 428223038

Deutsche Forschungsgemeinschaft

Grant: SPP2177

National Institutes of Health

Grant: 1R01NS112161‐01

NINDS NIH HHS

Grant: R01 NS112161

National Institutes of Health

Grant: 5R01NS112161-04

Computational imaging biomarkers of multiple sclerosis

Deutsche Forschungsgemeinschaft

Grant: unidentified

unidentified

National Institutes of Health

Grant: 1R01NS112161-01

Computational imaging biomarkers of multiple sclerosis

Bundesministerium für Bildung und Forschung

FWCI

0.27

Citation Percentile

0.5%

Citation Trend

2023

2025

goldLicense: cc-by-nc-nd

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/acn3.51700

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/acn3.51700

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/acn3.51700

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/acn3.51700

journalhttps://doi.org/10.1002/acn3.51700

Fields of Study

Multiple Sclerosis Research StudiesSystemic Lupus Erythematosus ResearchRheumatoid Arthritis Research and Therapies03 medical and health sciences0302 clinical medicine

MeSH Terms

BrainHumansMultiple SclerosisDisease ProgressionMultiple Sclerosis, Relapsing-RemittingWhite Matter

Keywords

White matterMultiple sclerosisAtrophyBrain sizeMedicineMagnetic resonance imagingPathologyNeuroscienceNuclear medicineRadiologyPsychologyPsychiatryBrainNeurosciences. Biological psychiatry. NeuropsychiatryBrief CommunicationMultiple Sclerosis, Relapsing-RemittingDisease ProgressionHumansNeurology. Diseases of the nervous systemRC346-429RC321-571

Sustainable Development Goals

SDG 10: 10. No inequality