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
| Title |
Artificial Intelligence Techniques for a Scalable Energy Transition
|
|---|---|
| Published by |
Springer International Publishing, June 2020
|
| DOI | 10.1007/978-3-030-42726-9 |
| ISBNs |
978-3-03-042725-2, 978-3-03-042726-9
|
| Editors |
Sayed-Mouchaweh, Moamar |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| Brazil | 1 | 20% |
| Italy | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 18% |
| Student > Ph. D. Student | 8 | 13% |
| Professor | 6 | 10% |
| Student > Master | 4 | 7% |
| Student > Doctoral Student | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 26 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 25% |
| Computer Science | 7 | 12% |
| Business, Management and Accounting | 3 | 5% |
| Energy | 2 | 3% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 26 | 43% |