Predicting Immunological Risk for Stage 1 and Stage 2 Diabetes Using a 1-Week CGM Home Test, Nocturnal Glucose Increments, and Standardized Liquid Mixed Meal Breakfasts, with Classification Enhanced by Machine Learning is a research paper published in Diabetes Technology & Therapeutics (2023). On theSindex it has a DataRank of 0.741. It has been cited 20 times, with 15 citing works in its 1-hop citation network.
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.457
From this paper's citation signal
Citation Network Contribution
0.284
From 10 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 15 citers.
NIDDK NIH HHS
Grant: DP3 DK106907
FWCI
4.33
Citation Percentile
0.9%
Citation Trend
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