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X Demographics
Mendeley readers
| Title |
Machine Learning with Microsoft Technologies
|
|---|---|
| Published by |
Apress, September 2019
|
| DOI | 10.1007/978-1-4842-3658-1 |
| ISBNs |
978-1-4842-3657-4, 978-1-4842-3658-1
|
| Authors |
Etaati, Leila |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 4 | 29% |
| United Kingdom | 3 | 21% |
| United States | 1 | 7% |
| Austria | 1 | 7% |
| Brazil | 1 | 7% |
| Belgium | 1 | 7% |
| India | 1 | 7% |
| Unknown | 2 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 86% |
| Scientists | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 17% |
| Researcher | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Lecturer > Senior Lecturer | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 14 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 36% |
| Engineering | 4 | 11% |
| Arts and Humanities | 2 | 6% |
| Mathematics | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 39% |