| Title |
Uncertainty Matters: Computer Models at the Science–Policy Interface
|
|---|---|
| Published in |
Water Resources Management, November 2006
|
| DOI | 10.1007/s11269-006-9099-y |
| Authors |
Marcela Brugnach, Andrew Tagg, Florian Keil, Wim J. de Lange |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Netherlands | 1 | <1% |
| Ecuador | 1 | <1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Finland | 1 | <1% |
| Spain | 1 | <1% |
| Thailand | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 120 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 26% |
| Student > Ph. D. Student | 29 | 22% |
| Student > Master | 16 | 12% |
| Professor > Associate Professor | 11 | 8% |
| Student > Doctoral Student | 10 | 8% |
| Other | 18 | 14% |
| Unknown | 13 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 39 | 30% |
| Engineering | 19 | 15% |
| Social Sciences | 16 | 12% |
| Agricultural and Biological Sciences | 9 | 7% |
| Earth and Planetary Sciences | 8 | 6% |
| Other | 14 | 11% |
| Unknown | 26 | 20% |