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 |
Hyperparameter Tuning for Machine and Deep Learning with R
|
|---|---|
| Published by |
Springer Nature Singapore, January 2023
|
| DOI | 10.1007/978-981-19-5170-1 |
| ISBNs |
978-9-81-195169-5, 978-9-81-195170-1
|
| Editors |
Bartz, Eva, Bartz-Beielstein, Thomas, Zaefferer, Martin, Mersmann, Olaf |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 22% |
| Brazil | 1 | 6% |
| Ecuador | 1 | 6% |
| Mexico | 1 | 6% |
| Saudi Arabia | 1 | 6% |
| South Africa | 1 | 6% |
| United Kingdom | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 78% |
| Scientists | 3 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Student > Master | 7 | 7% |
| Lecturer | 5 | 5% |
| Student > Postgraduate | 3 | 3% |
| Other | 13 | 14% |
| Unknown | 49 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 12% |
| Engineering | 9 | 10% |
| Unspecified | 9 | 10% |
| Agricultural and Biological Sciences | 3 | 3% |
| Social Sciences | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 51 | 54% |