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Mendeley readers
Chapter title |
Towards Improving the Applicability of Non-parametric Multiple Comparisons to Select the Best Soft Computing Models in Rubber Extrusion Industry
|
---|---|
Chapter number | 18 |
Book title |
International Joint Conference SOCO’13-CISIS’13-ICEUTE’13
|
Published by |
Springer, Cham, January 2014
|
DOI | 10.1007/978-3-319-01854-6_18 |
Book ISBNs |
978-3-31-901853-9, 978-3-31-901854-6
|
Authors |
Ruben Urraca-Valle, Enrique Sodupe-Ortega, Alpha Pernía-Espinoza, Andres Sanz-Garcia, Urraca-Valle, Ruben, Sodupe-Ortega, Enrique, Pernía-Espinoza, Alpha, Sanz-Garcia, Andres |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 40% |
Professor > Associate Professor | 1 | 20% |
Student > Ph. D. Student | 1 | 20% |
Unknown | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 60% |
Unknown | 2 | 40% |