The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
An Efficient Modeling Approach for Probabilistic Assessments of Present-Day and Future Fluvial Flooding
|
|---|---|
| Published in |
Frontiers in Climate, July 2022
|
| DOI | 10.3389/fclim.2022.798618 |
| Authors |
Hieu Ngo, Roshanka Ranasinghe, Chris Zevenbergen, Ebru Kirezci, Dikman Maheng, Mohanasundar Radhakrishnan, Assela Pathirana |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Student > Doctoral Student | 2 | 6% |
| Researcher | 2 | 6% |
| Student > Master | 2 | 6% |
| Lecturer | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 13 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 32% |
| Environmental Science | 3 | 10% |
| Agricultural and Biological Sciences | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Earth and Planetary Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 45% |