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X Demographics
Mendeley readers
Title |
Editorial: Machine Learning for Water Resources
|
---|---|
Published in |
Frontiers in Artificial Intelligence, May 2021
|
DOI | 10.3389/frai.2021.699862 |
Authors |
Gregoire Mariethoz, J. Jaime Gómez-Hernández |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 22% |
Student > Bachelor | 1 | 11% |
Lecturer | 1 | 11% |
Student > Master | 1 | 11% |
Researcher | 1 | 11% |
Other | 0 | 0% |
Unknown | 3 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 33% |
Agricultural and Biological Sciences | 1 | 11% |
Materials Science | 1 | 11% |
Earth and Planetary Sciences | 1 | 11% |
Unknown | 3 | 33% |