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Mendeley readers
| Title |
Test accuracy of artificial intelligence-based grading of fundus images in diabetic retinopathy screening: A systematic review
|
|---|---|
| Published in |
Journal of Medical Screening, January 2023
|
| DOI | 10.1177/09691413221144382 |
| Pubmed ID | |
| Authors |
Zhivko Zhelev, Jaime Peters, Morwenna Rogers, Michael Allen, Goda Kijauskaite, Farah Seedat, Elizabeth Wilkinson, Christopher Hyde |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Unspecified | 1 | 5% |
| Researcher | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 65% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 20% |
| Nursing and Health Professions | 1 | 5% |
| Unspecified | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 60% |