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Multivariable Modeling of Biomarker Data From the Phase I Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium

Arthritis Care & Research(2021)10.1002/acr.24557Source: DataRank Database

Multivariable Modeling of Biomarker Data From the Phase I Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium is a dataset published in Arthritis Care & Research (2021). On theSindex it has a DataRank of 1.5, placing it in the top 13.7% of the data-sharing corpus. It has been cited 56 times, with 32 citing works in its 1-hop citation network.

Top 14%percentile

1.5DataRank

Ranks in the top 14% for downstream scientific impact

Data paper Open Access56 citations · 32 citing works in its network

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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 (34 grants)Impact (FWCI 4.77)OA: greenTopics (61)IDs (PubMed, OpenAlex)SDGs (3)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (1/3)

Dataset classification

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DataRank Breakdown

Base Score 40%Citation Network 60%

Base Score Contribution

0.606

From this paper's citation signal

Citation Network Contribution

0.910

From 25 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 32 citers.

Understanding when and how joint injury leads to osteoarthritis
The Lancet Rheumatology20213 citations10 referencesContributes 0.139
Are structural abnormalities on knee MRI associated with osteophyte development? Data from the Osteoarthritis Initiative
Osteoarthritis and Cartilage202120 citations27 referencesContributes 0.113
Predicting rapid progression in knee osteoarthritis: a novel and interpretable automated machine learning approach, with specific focus on young patients and early disease
Annals of the Rheumatic Diseases202432 citations37 referencesContributes 0.095
Peripheral Blood DNA Methylation–Based Machine Learning Models for Prediction of Knee Osteoarthritis Progression: Biologic Specimens and Data From the Osteoarthritis Initiative and Johnston County Osteoarthritis Project
Arthritis & Rheumatology202224 citations37 referencesContributes 0.087
Biochemical, Clinical, Demographic and Imaging Biomarkers for Disease Progression in Knee Osteoarthritis
Biomarkers in Medicine20228 citations36 referencesContributes 0.061

Authors (15)

Leticia A. Deveza ORCID,Jamie E. Collins ORCID,Elena Losina ORCID,Jeffrey N. Katz ORCID,Michael C. Nevitt ORCID

Live enrichment

PubMed:33421361 OpenAlex:https://openalex.org/W3119413560

NIH

Grant: N01‐AR‐22258

NIH

Grant: N01‐AR‐22259

NIH

Grant: N01‐AR‐22260

NIH

Grant: N01‐AR‐22261

NIH

Grant: N01‐AR‐22262

NIH

Grant: R01‐AR‐071450

National Health and Medical Research Council

Grant: FNIH OA Biomarkers Consortium

Rheumatology Research Foundation

Grant: Investigator Award