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Mendeley readers
Title |
Hyperspectral venous image quality assessment for optimum illumination range selection based on skin tone characteristics
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Published in |
BioMedical Engineering OnLine, August 2014
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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% |