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Mendeley readers
Chapter title |
Assessment of Bayesian Network Classifiers as Tools for Discriminating Breast Cancer Pre-diagnosis Based on Three Diagnostic Methods
|
---|---|
Chapter number | 36 |
Book title |
Advances in Artificial Intelligence
|
Published in |
Lecture notes in computer science, January 2013
|
DOI | 10.1007/978-3-642-37807-2_36 |
Book ISBNs |
978-3-64-237806-5, 978-3-64-237807-2
|
Authors |
Maria Yaneli, Ameca-Alducin, Nicandro, Cruz-Ramírez, Efrén, Mezura-Montes, Enrique, Martín-Del-Campo-Mena, Nancy, Pérez-Castro, Héctor Gabriel, Acosta-Mesa, Ameca-Alducin Maria Yaneli, Cruz-Ramírez Nicandro, Mezura-Montes Efrén, Martín-Del-Campo-Mena Enrique, Pérez-Castro Nancy, Acosta-Mesa Héctor Gabriel |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 28% |
Researcher | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Lecturer | 1 | 6% |
Student > Ph. D. Student | 1 | 6% |
Other | 3 | 17% |
Unknown | 4 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 33% |
Computer Science | 5 | 28% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Chemical Engineering | 1 | 6% |
Mathematics | 1 | 6% |
Other | 0 | 0% |
Unknown | 4 | 22% |