Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes is a research paper published in Diabetologia (2021). On theSindex it has a DataRank of 2.0. It has been cited 69 times, with 57 citing works in its 1-hop citation network.
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Base Score Contribution
0.637
From this paper's citation signal
Citation Network Contribution
1.4
From 44 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 57 citers.
Juvenile Diabetes Research Foundation
Grant: 8-2008-362
National Institutes of Health
Grant: 1DP3DK104386-01
Multinational Collaborative Evaluation of Corneal Confocal Microscopy as a Surrogate Endpoint for the Identification and Prediction of Diabetic Neuropathy in Type 1 Diabetes
NIDDK NIH HHS
Grant: DP3 DK104386
FWCI
8.67
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study
Additional file 1 of Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study