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Mendeley readers
| Title |
Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms
|
|---|---|
| Published in |
BMC Ophthalmology, November 2018
|
| DOI | 10.1186/s12886-018-0954-4 |
| Pubmed ID | |
| Authors |
Parham Khojasteh, Behzad Aliahmad, Dinesh K. Kumar |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 11% |
| Researcher | 6 | 10% |
| Student > Master | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Other | 14 | 23% |
| Unknown | 22 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 28% |
| Engineering | 10 | 16% |
| Medicine and Dentistry | 5 | 8% |
| Business, Management and Accounting | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 23 | 38% |