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X Demographics
Mendeley readers
| Title |
Novel Methods in Computational Finance
|
|---|---|
| Published by |
Springer International Publishing, January 2017
|
| DOI | 10.1007/978-3-319-61282-9 |
| ISBNs |
978-3-31-961281-2, 978-3-31-961282-9
|
| Editors |
Prof. Dr. Matthias Ehrhardt, Prof. Dr. Michael Günther, Dr. E. Jan W. ter Maten |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 1 | 100% |