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Mendeley readers
Chapter title |
PCA-QDA Model Selection for Detecting NS1 Related Diseases from SERS Spectra of Salivary Mixtures
|
---|---|
Chapter number | 116 |
Book title |
World Congress on Medical Physics and Biomedical Engineering 2018
|
Published by |
Springer, Singapore, January 2019
|
DOI | 10.1007/978-981-10-9035-6_116 |
Book ISBNs |
978-9-81-109034-9, 978-9-81-109035-6
|
Authors |
N. H. Othman, Khuan Y. Lee, A. R. M. Radzol, W. Mansor, N. I. A. Hisham, Othman, N. H., Lee, Khuan Y., Radzol, A. R. M., Mansor, W., Hisham, N. I. A. |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 40% |
Professor > Associate Professor | 1 | 10% |
Researcher | 1 | 10% |
Other | 1 | 10% |
Unknown | 3 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Physics and Astronomy | 3 | 30% |
Chemical Engineering | 2 | 20% |
Medicine and Dentistry | 1 | 10% |
Unknown | 4 | 40% |