You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Understanding Zooplankton Long Term Variability through Genetic Programming
|
---|---|
Chapter number | 5 |
Book title |
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
|
Published by |
Springer Berlin Heidelberg, April 2012
|
DOI | 10.1007/978-3-642-29066-4_5 |
Book ISBNs |
978-3-64-229065-7, 978-3-64-229066-4
|
Authors |
Simone Marini, Alessandra Conversi |
Editors |
Mario Giacobini, Leonardo Vanneschi, William S. Bush |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 4% |
Italy | 1 | 4% |
Malta | 1 | 4% |
Unknown | 20 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 26% |
Student > Ph. D. Student | 5 | 22% |
Researcher | 4 | 17% |
Professor > Associate Professor | 3 | 13% |
Student > Doctoral Student | 2 | 9% |
Other | 2 | 9% |
Unknown | 1 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 61% |
Agricultural and Biological Sciences | 2 | 9% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Physics and Astronomy | 1 | 4% |
Other | 2 | 9% |
Unknown | 2 | 9% |