Encyclopedia of Machine Learning and Data Mining
Springer US
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Timeline
X Demographics
Mendeley readers
| Title |
Encyclopedia of Machine Learning and Data Mining
|
|---|---|
| Published by |
Springer US, January 2017
|
| DOI | 10.1007/978-1-4899-7687-1 |
| ISBNs |
978-1-4899-7685-7, 978-1-4899-7687-1, 978-1-4899-7686-4
|
| Editors |
Claude Sammut, Geoffrey I. Webb |
X Demographics
The data shown below were collected from the profiles of 37 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 % |
|---|---|---|
| Saudi Arabia | 7 | 19% |
| United States | 4 | 11% |
| India | 2 | 5% |
| United Kingdom | 1 | 3% |
| Morocco | 1 | 3% |
| Germany | 1 | 3% |
| Japan | 1 | 3% |
| Colombia | 1 | 3% |
| Finland | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 78% |
| Scientists | 7 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 918 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 918 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 131 | 14% |
| Student > Bachelor | 125 | 14% |
| Student > Ph. D. Student | 112 | 12% |
| Researcher | 53 | 6% |
| Lecturer | 40 | 4% |
| Other | 133 | 14% |
| Unknown | 324 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 256 | 28% |
| Engineering | 113 | 12% |
| Business, Management and Accounting | 31 | 3% |
| Mathematics | 17 | 2% |
| Economics, Econometrics and Finance | 16 | 2% |
| Other | 134 | 15% |
| Unknown | 351 | 38% |