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

Hand osteoarthritis phenotypes based on a biopsychosocial approach, and their associations with cross-sectional and longitudinal pain

Osteoarthritis and Cartilage(2024)10.1016/j.joca.2024.04.011Source: DataRank Database

Hand osteoarthritis phenotypes based on a biopsychosocial approach, and their associations with cross-sectional and longitudinal pain is a research paper published in Osteoarthritis and Cartilage (2024). 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:

Linked data & code

nct doi

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 (6 grants)Impact (FWCI 1.91)OA: hybridTopics (35)IDs (PubMed, PMC, OpenAlex)Annotations (2)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 (8)

Tuhina Neogi ORCID,Hanne Dagfinrud ORCID,Hilde Berner Hammer ORCID,Pernille Steen Pettersen ORCID,Tore K Kvien ORCID

Live enrichment

PubMed:38697510 PMC:PMC11254542 OpenAlex:https://openalex.org/W4396531399

NIA NIH HHS

Grant: R01 AG066010

NINDS NIH HHS

Grant: R01 NS121419

NIAMS NIH HHS

Grant: K24 AR070892

NIA NIH HHS

Grant: R01 AG066914

NIAMS NIH HHS

Grant: P30 AR072571

NIAMS NIH HHS

Grant: R01 AR062506

FWCI

1.91

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

hybridLicense: cc-by

journalhttps://www.oarsijournal.com/article/S1063-4584(24)01168-3/pdf

publisherhttps://www.oarsijournal.com/article/S1063-4584(24)01168-3/pdf

publisherhttps://api.elsevier.com/content/article/PII:S1063458424011683?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1063458424011683?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.joca.2024.04.011

Fields of Study

Osteoarthritis Treatment and MechanismsMusculoskeletal pain and rehabilitationOrthopedic Surgery and Rehabilitation

MeSH Terms

Latent Class AnalysisAgedCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedOsteoarthritisPain MeasurementPhenotypeSeverity of Illness IndexArthralgiaHand Joints

Keywords

Biopsychosocial modelOsteoarthritisPhysical therapyRating scaleMedicineLatent class modelPsychologyPhysical medicine and rehabilitationPsychiatryAlternative medicineDevelopmental psychologyPathologyComputer scienceMachine learningPainPhenotypesHand OsteoarthritisPain Sensitization

Sustainable Development Goals

SDG 0: Gender equality

Hand osteoarthritis phenotypes based on a biopsychosocial approach, and their associations with cross-sectional and longitudinal pain

FAIR Checklist

Authors (8)

Funding (6 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)