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X Demographics
Mendeley readers
Title |
Evaluating the utility of deep learning for predicting therapeutic response in diabetic eye disease
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Published in |
Frontiers in Ophthalmology, August 2022
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DOI | 10.3389/fopht.2022.852107 |
Pubmed ID | |
Authors |
Vincent Dong, Duriye Damla Sevgi, Sudeshna Sil Kar, Sunil K. Srivastava, Justis P. Ehlers, Anant Madabhushi |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 38% |
Switzerland | 1 | 13% |
Canada | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 88% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 29% |
Student > Ph. D. Student | 1 | 14% |
Other | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 1 | 14% |
Computer Science | 1 | 14% |
Engineering | 1 | 14% |
Unknown | 4 | 57% |