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X Demographics
Mendeley readers
| Title |
Using a Bayesian Network to predict shore-line change vulnerability to sea-level rise for the coasts of the United States
|
|---|---|
| DOI | 10.3133/ofr20141083 |
| Authors |
Benjamin T. Gutierrez, Nathaniel G. Plant, Elizabeth A. Pendleton, E. Robert Thieler |
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 % |
|---|---|---|
| United States | 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 33% |
| Student > Master | 7 | 19% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 10 | 28% |
| Environmental Science | 8 | 22% |
| Engineering | 5 | 14% |
| Agricultural and Biological Sciences | 3 | 8% |
| Social Sciences | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 5 | 14% |