| Title |
Fully automated detection of retinal disorders by image-based deep learning
|
|---|---|
| Published in |
Graefe's Archive for Clinical and Experimental Ophthalmology, January 2019
|
| DOI | 10.1007/s00417-018-04224-8 |
| Pubmed ID | |
| Authors |
Feng Li, Hua Chen, Zheng Liu, Xuedian Zhang, Zhizheng Wu |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 166 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 14% |
| Researcher | 22 | 13% |
| Student > Master | 18 | 11% |
| Student > Bachelor | 9 | 5% |
| Student > Doctoral Student | 8 | 5% |
| Other | 24 | 14% |
| Unknown | 61 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 20% |
| Computer Science | 25 | 15% |
| Engineering | 19 | 11% |
| Agricultural and Biological Sciences | 4 | 2% |
| Nursing and Health Professions | 3 | 2% |
| Other | 16 | 10% |
| Unknown | 65 | 39% |