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Mendeley readers
Chapter title |
Kernel-Based Machine Learning Models for the Prediction of Dengue and Chikungunya Morbidity in Colombia
|
---|---|
Chapter number | 34 |
Book title |
Advances in Computing
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-66562-7_34 |
Book ISBNs |
978-3-31-966561-0, 978-3-31-966562-7
|
Authors |
William Caicedo-Torres, Diana Montes-Grajales, Wendy Miranda-Castro, Mary Fennix-Agudelo, Nicolas Agudelo-Herrera |
Mendeley readers
The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 203 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 27 | 13% |
Student > Bachelor | 22 | 11% |
Lecturer | 15 | 7% |
Student > Ph. D. Student | 13 | 6% |
Student > Doctoral Student | 11 | 5% |
Other | 38 | 19% |
Unknown | 77 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 42 | 21% |
Agricultural and Biological Sciences | 24 | 12% |
Computer Science | 10 | 5% |
Social Sciences | 9 | 4% |
Engineering | 9 | 4% |
Other | 22 | 11% |
Unknown | 87 | 43% |