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Mendeley readers
Chapter title |
Modelling Expressive Performance: A Regression Tree Approach Based on Strongly Typed Genetic Programming
|
---|---|
Chapter number | 64 |
Book title |
Applications of Evolutionary Computing
|
Published by |
Springer, Berlin, Heidelberg, April 2006
|
DOI | 10.1007/11732242_64 |
Book ISBNs |
978-3-54-033237-4, 978-3-54-033238-1
|
Authors |
Amaury Hazan, Rafael Ramirez, Esteban Maestre, Alfonso Perez, Antonio Pertusa |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 6% |
United Kingdom | 1 | 3% |
Italy | 1 | 3% |
Unknown | 27 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 32% |
Student > Ph. D. Student | 6 | 19% |
Student > Master | 4 | 13% |
Professor > Associate Professor | 3 | 10% |
Professor | 3 | 10% |
Other | 3 | 10% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 74% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Psychology | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Engineering | 1 | 3% |
Other | 0 | 0% |
Unknown | 4 | 13% |