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

Examining the role of unmeasured confounding in mediation analysis with genetic and genomic applications

UNC Libraries(2024)10.17615/jx25-ja37Source: DataRank Database

Examining the role of unmeasured confounding in mediation analysis with genetic and genomic applications is a research paper published in UNC Libraries (2024). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 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 (3 grants)OA: goldTopics (18)IDs (PubMed)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)

Christopher D. Baker ORCID,Anne P. Starling ORCID,J.E. Hokanson,Sarah J. Schmiege ORCID,Miranda Kroehl ORCID

Live enrichment

PubMed:19965766

National Institutes of Health

Grant: 3R01HL089897-08S1

Metabolomic signatures of empysema and COPD progression in the COPDGene cohort

National Institutes of Health

Grant: 2R01HL089856-06A1

(2 of 2) Genetic Epidemiology of COPD

National Institutes of Health

Grant: 1K01HL125858-01A1

Common Genetic Pathways Underlying CVD and COPD

goldLicense: CC BY

https://doi.org/10.1186/s12859-017-1749-y

https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1749-y

https://dx.doi.org/10.17615/jx25-ja37

https://pubmed.ncbi.nlm.nih.gov/28724417

http://dx.doi.org/10.1186/s12859-017-1749-y

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Principal Component AnalysisQH301-705.5Computer applications to medicine. Medical informaticsR858-859.7Confounding Factors, EpidemiologicPulmonary Disease, Chronic ObstructiveMediation analysisMediated effectsHumansDirect effectsUnmeasured confoundingPopulation stratificationBiology (General)SoftwareGenome-Wide Association Study

Sustainable Development Goals

SDG 3: 3. Good health