Machine‐learning algorithms for predicting hospital re‐admissions in sickle cell disease is a research paper published in British Journal of Haematology (2020). On theSindex it has a DataRank of 0.980. It has been cited 17 times, with 17 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
0.434
From this paper's citation signal
Citation Network Contribution
0.546
From 9 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 17 citers.
University of Pittsburgh
Grant: 2T32HL110849‐06
NIH training grant
Grant: 2T32HL110849-06
NHLBI NIH HHS
Grant: T32 HL110849
NHLBI NIH HHS
Grant: R01 HL127107
FWCI
1.07
Citation Percentile
0.8%
Citation Trend
Fields of Study
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