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Mendeley readers
Chapter title |
Improving Earthquake Prediction with Principal Component Analysis: Application to Chile
|
---|---|
Chapter number | 33 |
Book title |
Hybrid Artificial Intelligent Systems
|
Published by |
Springer, Cham, June 2015
|
DOI | 10.1007/978-3-319-19644-2_33 |
Book ISBNs |
978-3-31-919643-5, 978-3-31-919644-2
|
Authors |
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, Alicia Troncoso |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 20% |
Researcher | 3 | 10% |
Student > Master | 3 | 10% |
Student > Doctoral Student | 2 | 7% |
Student > Bachelor | 2 | 7% |
Other | 5 | 17% |
Unknown | 9 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 23% |
Earth and Planetary Sciences | 6 | 20% |
Engineering | 4 | 13% |
Environmental Science | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 33% |