Objective study validity diagnostics: a framework requiring pre-specified, empirical verification to increase trust in the reliability of real-world evidence is a research paper published in Journal of the American Medical Informatics Association (2025). On theSindex it has a DataRank of 0.513. It has been cited 14 times, with 5 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.406
From this paper's citation signal
Citation Network Contribution
0.107
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
National Institutes of Health
Grant: R01 HL167858
National Institutes of Health
Grant: R01 HL169954
National Institutes of Health
Grant: R01 LM006910
National Institutes of Health
Grant: 1R01HL169954-01
Real-world Evidence to Inform Decisions for Hypertension Treatment Escalation
National Institutes of Health
Grant: 2R01LM006910-14
Discovering and Applying Knowledge in Clinical Databases
National Institutes of Health
Grant: 5R01HL167858-02
Translating Personalized Inference from Randomized Clinical Trials to Real-World Cardiovascular Care
FWCI
8.83
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals