Shiny-MAGEC: A Bayesian R shiny application for meta-analysis of censored adverse events is a research paper published in Research Synthesis Methods (2025). On theSindex it has a DataRank of 0.122. It has been cited 1 time, with 1 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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.
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Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0.0179
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 1 citer.
NCI NIH HHS
Grant: P30CA016672
NIMHD NIH HHS
Grant: U24 MD020517
NLM NIH HHS
Grant: R21 LM014534
FWCI
0.54
Citation Percentile
0.7%
Citation Trend
Fields of Study
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