Development and Comparison of Three Data Models for Predicting Diabetes Mellitus Using Risk Factors in a Nigerian Population is a research paper published in Healthcare Informatics Research (2022). On theSindex it has a DataRank of 0.621. It has been cited 12 times, with 8 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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.385
From this paper's citation signal
Citation Network Contribution
0.237
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 8 citers.
Fogarty International Center of the National Institutes of Health
Grant: D43TW010134
National Institutes of Health
Grant: 5D43TW010134-02
Building Research And Innovation in Nigeria's Science - (BRAINS)
FWCI
2.46
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules
Additional file 1 of Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules
Additional file 2 of Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules
Additional file 2 of Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules