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Mendeley readers
| Title |
Physical Approach to Short-Term Wind Power Prediction
|
|---|---|
| Published by |
Springer Berlin Heidelberg, January 2006
|
| DOI | 10.1007/3-540-31106-8 |
| ISBNs |
978-3-54-025662-5, 978-3-54-031106-5
|
| Authors |
Lange, Matthias, Focken, Ulrich |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | <1% |
| Colombia | 1 | <1% |
| Germany | 1 | <1% |
| Indonesia | 1 | <1% |
| Brazil | 1 | <1% |
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| Estonia | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 168 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 18% |
| Student > Master | 32 | 18% |
| Researcher | 21 | 12% |
| Student > Doctoral Student | 13 | 7% |
| Other | 10 | 6% |
| Other | 39 | 22% |
| Unknown | 31 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 74 | 41% |
| Computer Science | 16 | 9% |
| Earth and Planetary Sciences | 14 | 8% |
| Energy | 14 | 8% |
| Environmental Science | 10 | 6% |
| Other | 15 | 8% |
| Unknown | 36 | 20% |