Clinician perspectives on how situational context and augmented intelligence design features impact perceived usefulness of sepsis prediction scores embedded within a simulated electronic health record is a dataset published in Journal of the American Medical Informatics Association (2024). On theSindex it has a DataRank of 0.469, placing it in the top 40.5% of the data-sharing corpus. It has been cited 6 times, with 6 citing works in its 1-hop citation network.
Ranks in the top 41% for downstream scientific impact
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
0.292
From this paper's citation signal
Citation Network Contribution
0.177
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 6 citers.
National Institute of General Medical Sciences
Grant: 1R01GM137083-01
NIGMS NIH HHS
Grant: R01 GM137083
NIH
National Institutes of Health
NIH HHS
FWCI
1.70
Citation Percentile
0.8%
Citation Trend
Fields of Study
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