Deep Generative Modeling
Springer International Publishing
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Timeline
X Demographics
Mendeley readers
| Title |
Deep Generative Modeling
|
|---|---|
| Published by |
Springer International Publishing, January 2022
|
| DOI | 10.1007/978-3-030-93158-2 |
| ISBNs |
978-3-03-093157-5, 978-3-03-093158-2
|
| Authors |
Jakub M. Tomczak, Tomczak, Jakub M. |
X Demographics
The data shown below were collected from the profiles of 404 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 | 57 | 14% |
| United Kingdom | 20 | 5% |
| Netherlands | 17 | 4% |
| India | 15 | 4% |
| Japan | 13 | 3% |
| Spain | 13 | 3% |
| Germany | 11 | 3% |
| Canada | 9 | 2% |
| Italy | 8 | 2% |
| Other | 74 | 18% |
| Unknown | 167 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 242 | 60% |
| Scientists | 156 | 39% |
| Practitioners (doctors, other healthcare professionals) | 4 | <1% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 398 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Ireland | 1 | <1% |
| Unknown | 394 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 86 | 22% |
| Researcher | 50 | 13% |
| Student > Master | 49 | 12% |
| Student > Bachelor | 31 | 8% |
| Student > Doctoral Student | 17 | 4% |
| Other | 51 | 13% |
| Unknown | 114 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 144 | 36% |
| Engineering | 62 | 16% |
| Mathematics | 12 | 3% |
| Biochemistry, Genetics and Molecular Biology | 10 | 3% |
| Physics and Astronomy | 7 | 2% |
| Other | 40 | 10% |
| Unknown | 123 | 31% |