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Mendeley readers
Chapter title |
Identification of the Risk Factors of Type II Diabetic Data Based Support Vector Machine Classifiers upon Varied Kernel Functions
|
---|---|
Chapter number | 42 |
Book title |
Computational Vision and Bio Inspired Computing
|
Published by |
Springer, Cham, January 2018
|
DOI | 10.1007/978-3-319-71767-8_42 |
Book ISBNs |
978-3-31-971766-1, 978-3-31-971767-8
|
Authors |
A. Sheik Abdullah, N. Gayathri, S. Selvakumar, S. Rakesh Kumar |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 25% |
Researcher | 3 | 19% |
Student > Master | 3 | 19% |
Professor | 1 | 6% |
Lecturer | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 38% |
Computer Science | 3 | 19% |
Economics, Econometrics and Finance | 1 | 6% |
Social Sciences | 1 | 6% |
Energy | 1 | 6% |
Other | 0 | 0% |
Unknown | 4 | 25% |