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X Demographics
Mendeley readers
| Title |
Soft Methods for Data Science
|
|---|---|
| Published by |
Springer, Cham, January 2017
|
| DOI | 10.1007/978-3-319-42972-4 |
| ISBNs |
978-3-31-942971-7, 978-3-31-942972-4
|
| Editors |
Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi, Marek Gagolewski, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 5% |
| Lecturer | 1 | 3% |
| Unknown | 35 | 92% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 5% |
| Computer Science | 1 | 3% |
| Unknown | 35 | 92% |