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

INK4/ARF Transcript Expression Is Associated with Chromosome 9p21 Variants Linked to Atherosclerosis

UNC Libraries(2020)10.17615/bdbx-cj52Source: DataRank Database

INK4/ARF Transcript Expression Is Associated with Chromosome 9p21 Variants Linked to Atherosclerosis is a research paper published in UNC Libraries (2020). On theSindex it has a DataRank of 0. It has been cited 11 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access11 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 0.08)OA: greenTopics (22)IDs (PubMed, OpenAlex)SDGs (2)

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)

Karen L. Mohlke ORCID,Chad Torrice,Christin E. Burd ORCID,Norman E. Sharpless ORCID,Hanna K. Sanoff ORCID

Live enrichment

PubMed:26657633 OpenAlex:https://openalex.org/W4299322277

National Institutes of Health

Grant: 5K12RR023248-02

Multidisciplinary Clinical Research Career Development

National Institutes of Health

Grant: 2R01DK072193-10

Targeted Genetic Analysis of T2D and Quantitative Traits

National Institutes of Health

Grant: 5R01AG024379-04

The role of p16INK4a in mammalian aging

Wellcome Trust

Grant: unidentified

unidentified

National Institutes of Health

Grant: 5R01DK072193-16

Targeted Genetic Analysis of T2D and Quantitative Traits

FWCI

0.08

Citation Percentile

0.5%

Citation Trend

2012

2016

2017

2018

2020

greenLicense: CC BY

repositoryhttps://doi.org/10.17615/bdbx-cj52

https://doi.org/10.1371/journal.pone.0005027

https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0005027&type=printable

https://dx.doi.org/10.17615/bdbx-cj52

https://pubmed.ncbi.nlm.nih.gov/19343170

Fields of Study

Atherosclerosis and Cardiovascular Diseases0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

BiologyGeneticsExpression (computer science)ChromosomeGeneGenotypeScienceQRAtherosclerosisPolymorphism, Single NucleotideMedicineHumansRNA, MessengerChromosomes, Human, Pair 9Research ArticleCyclin-Dependent Kinase Inhibitor ProteinsGenome-Wide Association Study

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being