Encyclopedia of Inland Waters
Elsevier
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X Demographics
Mendeley readers
| Chapter title |
Machine Learning for Understanding Inland Water Quantity, Quality, and Ecology
|
|---|---|
| Book title |
Encyclopedia of Inland Waters
|
| Published in |
Encyclopedia of Inland Waters, January 2022
|
| DOI | 10.1016/b978-0-12-819166-8.00121-3 |
| Book ISBNs |
978-0-12-822041-2
|
| Authors |
Alison P. Appling, Samantha K. Oliver, Jordan S. Read, Jeffrey M. Sadler, Jacob A. Zwart |
X Demographics
The data shown below were collected from the profiles of 66 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 18% |
| Ecuador | 1 | 2% |
| Peru | 1 | 2% |
| Germany | 1 | 2% |
| New Zealand | 1 | 2% |
| Brazil | 1 | 2% |
| United Kingdom | 1 | 2% |
| Australia | 1 | 2% |
| South Africa | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 46 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 49 | 74% |
| Scientists | 16 | 24% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 45% |
| Student > Master | 5 | 16% |
| Student > Ph. D. Student | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Professor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 7 | 23% |
| Agricultural and Biological Sciences | 4 | 13% |
| Engineering | 4 | 13% |
| Earth and Planetary Sciences | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 11 | 35% |