You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Chapter title |
Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review
|
---|---|
Chapter number | 5 |
Book title |
Engineering for Sustainable Future
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-36841-8_5 |
Book ISBNs |
978-3-03-036840-1, 978-3-03-036841-8
|
Authors |
Sina Ardabili, Amir Mosavi, Majid Dehghani, Annamária R. Várkonyi-Kóczy, Ardabili, Sina, Mosavi, Amir, Dehghani, Majid, Várkonyi-Kóczy, Annamária R. |
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 % |
---|---|---|
Netherlands | 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 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 208 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 34 | 16% |
Student > Master | 33 | 16% |
Researcher | 19 | 9% |
Student > Bachelor | 13 | 6% |
Student > Doctoral Student | 12 | 6% |
Other | 31 | 15% |
Unknown | 66 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 46 | 22% |
Computer Science | 24 | 12% |
Earth and Planetary Sciences | 18 | 9% |
Environmental Science | 14 | 7% |
Agricultural and Biological Sciences | 9 | 4% |
Other | 19 | 9% |
Unknown | 78 | 38% |