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Mendeley readers
Chapter title |
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering
|
---|---|
Chapter number | 22 |
Book title |
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-57802-2_22 |
Book ISBNs |
978-3-03-057801-5, 978-3-03-057802-2
|
Authors |
Laura Melgar-García, Maria Teresa Godinho, Rita Espada, David Gutiérrez-Avilés, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero, Melgar-García, Laura, Godinho, Maria Teresa, Espada, Rita, Gutiérrez-Avilés, David, Brito, Isabel Sofia, Martínez-Álvarez, Francisco, Troncoso, Alicia, Rubio-Escudero, Cristina |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 23% |
Professor > Associate Professor | 3 | 23% |
Student > Ph. D. Student | 2 | 15% |
Other | 1 | 8% |
Lecturer | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 38% |
Agricultural and Biological Sciences | 2 | 15% |
Engineering | 2 | 15% |
Earth and Planetary Sciences | 1 | 8% |
Arts and Humanities | 1 | 8% |
Other | 0 | 0% |
Unknown | 2 | 15% |