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Mendeley readers
Chapter title |
SVM-Based Detection of Tomato Leaves Diseases
|
---|---|
Chapter number | 55 |
Book title |
Intelligent Systems'2014
|
Published by |
Springer, Cham, January 2015
|
DOI | 10.1007/978-3-319-11310-4_55 |
Book ISBNs |
978-3-31-911309-8, 978-3-31-911310-4
|
Authors |
Usama Mokhtar, Nashwa El Bendary, Aboul Ella Hassenian, E. Emary, Mahmoud A. Mahmoud, Hesham Hefny, Mohamed F. Tolba, Mokhtar, Usama, El Bendary, Nashwa, Hassenian, Aboul Ella, Emary, E., Mahmoud, Mahmoud A., Hefny, Hesham, Tolba, Mohamed F. |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 102 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 11% |
Student > Ph. D. Student | 9 | 9% |
Student > Master | 8 | 8% |
Student > Bachelor | 6 | 6% |
Professor > Associate Professor | 6 | 6% |
Other | 17 | 17% |
Unknown | 45 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 36 | 35% |
Engineering | 8 | 8% |
Agricultural and Biological Sciences | 5 | 5% |
Arts and Humanities | 1 | <1% |
Physics and Astronomy | 1 | <1% |
Other | 1 | <1% |
Unknown | 50 | 49% |