| Title |
Artificial intelligence for detecting keratoconus
|
|---|---|
| Published in |
Cochrane database of systematic reviews, December 2021
|
| DOI | 10.1002/14651858.cd014911 |
| Authors |
Magali MS Vandevenne, Eleonora Favuzza, Mitko Veta, Ersilia Lucenteforte, Tos Berendschot, Rita Mencucci, Rudy MMA Nuijts, Gianni Virgili, Mor M Dickman |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 12% |
| Student > Master | 2 | 12% |
| Student > Bachelor | 1 | 6% |
| Unspecified | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 9 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 24% |
| Unspecified | 1 | 6% |
| Psychology | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Unknown | 10 | 59% |