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Mendeley readers
| Title |
Hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics
|
|---|---|
| Published in |
BioMedical Engineering OnLine, August 2014
|
| DOI | 10.1186/1475-925x-13-109 |
| Pubmed ID | |
| Authors |
Aamir Shahzad, Mohamad Naufal Saad, Nicolas Walter, Aamir Saeed Malik, Fabrice Meriaudeau |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 55 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 18% |
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 6 | 11% |
| Researcher | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 16 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 29% |
| Nursing and Health Professions | 5 | 9% |
| Computer Science | 5 | 9% |
| Physics and Astronomy | 4 | 7% |
| Medicine and Dentistry | 4 | 7% |
| Other | 4 | 7% |
| Unknown | 18 | 32% |