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Mendeley readers
| Title |
Quantitative evaluation of binary digital region asymmetry with application to skin lesion detection
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2018
|
| DOI | 10.1186/s12911-018-0641-7 |
| Pubmed ID | |
| Authors |
Agustin Sancen-Plaza, Raul Santiago-Montero, Humberto Sossa, Francisco J. Perez-Pinal, Juan J. Martinez-Nolasco, Jose A. Padilla-Medina |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Student > Doctoral Student | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Unspecified | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 29% |
| Computer Science | 4 | 29% |
| Unspecified | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Unknown | 4 | 29% |