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Mendeley readers
| Title |
Automated diagnosis and staging of Fuchs’ endothelial cell corneal dystrophy using deep learning
|
|---|---|
| Published in |
Eye and Vision, September 2020
|
| DOI | 10.1186/s40662-020-00209-z |
| Pubmed ID | |
| Authors |
Taher Eleiwa, Amr Elsawy, Eyüp Özcan, Mohamed Abou Shousha |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 7 | 23% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 10 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 27% |
| Unspecified | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Environmental Science | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 12 | 40% |