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Mendeley readers
Chapter title |
Predictive Models for the Detection of Diseases in Crops Through Supervised Learning
|
---|---|
Chapter number | 23 |
Book title |
Technologies and Innovation
|
Published by |
Springer, Cham, October 2017
|
DOI | 10.1007/978-3-319-67283-0_23 |
Book ISBNs |
978-3-31-967282-3, 978-3-31-967283-0
|
Authors |
Cristina Páez Quinde, Margarita Narváez Ríos, Segundo Curay Quispe, Marco Pérez Salinas, Francisco Torres Oñate, Daniel Sánchez Guerrero, Javier Sánchez Guerrero, Carlos A. Morales F. |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 18% |
Librarian | 1 | 9% |
Lecturer > Senior Lecturer | 1 | 9% |
Professor | 1 | 9% |
Researcher | 1 | 9% |
Other | 0 | 0% |
Unknown | 5 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 18% |
Agricultural and Biological Sciences | 2 | 18% |
Business, Management and Accounting | 1 | 9% |
Social Sciences | 1 | 9% |
Computer Science | 1 | 9% |
Other | 0 | 0% |
Unknown | 4 | 36% |