| Title |
Running pattern of choroidal vessel in en face OCT images determined by machine learning–based quantitative method
|
|---|---|
| Published in |
Graefe's Archive for Clinical and Experimental Ophthalmology, June 2019
|
| DOI | 10.1007/s00417-019-04399-8 |
| Pubmed ID | |
| Authors |
Hideki Shiihara, Taiji Sakamoto, Hiroto Terasaki, Naoko Kakiuchi, Yuki Shinohara, Masatoshi Tomita, Shozo Sonoda |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 14% |
| Switzerland | 1 | 14% |
| Germany | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 17 | 38% |
| Student > Bachelor | 7 | 16% |
| Student > Doctoral Student | 5 | 11% |
| Professor > Associate Professor | 3 | 7% |
| Other | 2 | 4% |
| Other | 7 | 16% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 17 | 38% |
| Computer Science | 12 | 27% |
| Medicine and Dentistry | 9 | 20% |
| Nursing and Health Professions | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 3 | 7% |