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X Demographics
Mendeley readers
| Title |
IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency
|
|---|---|
| Published by |
Springer Berlin Heidelberg, August 2018
|
| DOI | 10.1007/978-3-662-57805-6 |
| ISBNs |
978-3-66-257804-9, 978-3-66-257805-6
|
| Editors |
Niggemann, Oliver, Schüller, Peter |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 40% |
| Researcher | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Student > Postgraduate | 1 | 10% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 30% |
| Engineering | 2 | 20% |
| Mathematics | 1 | 10% |
| Environmental Science | 1 | 10% |
| Unknown | 3 | 30% |