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X Demographics
Mendeley readers
| Title |
A data-driven spatial approach to characterize the flood hazard
|
|---|---|
| Published in |
Frontiers in Big Data, December 2022
|
| DOI | 10.3389/fdata.2022.1022900 |
| Pubmed ID | |
| Authors |
Rubayet Bin Mostafiz, Adilur Rahim, Carol J. Friedland, Robert V. Rohli, Nazla Bushra, Fatemeh Orooji |
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 States | 1 | 50% |
| Switzerland | 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 18% |
| Researcher | 2 | 18% |
| Student > Bachelor | 1 | 9% |
| Other | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 18% |
| Earth and Planetary Sciences | 2 | 18% |
| Environmental Science | 1 | 9% |
| Physics and Astronomy | 1 | 9% |
| Chemistry | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 3 | 27% |