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X Demographics
Mendeley readers
| Title |
Applied Machine Learning
|
|---|---|
| Published by |
Springer International Publishing, August 2019
|
| DOI | 10.1007/978-3-030-18114-7 |
| ISBNs |
978-3-03-018113-0, 978-3-03-018114-7
|
| Authors |
Forsyth, David |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 284 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 59 | 21% |
| Student > Ph. D. Student | 37 | 13% |
| Student > Bachelor | 31 | 11% |
| Researcher | 23 | 8% |
| Other | 12 | 4% |
| Other | 39 | 14% |
| Unknown | 83 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 65 | 23% |
| Computer Science | 49 | 17% |
| Biochemistry, Genetics and Molecular Biology | 11 | 4% |
| Physics and Astronomy | 10 | 4% |
| Business, Management and Accounting | 6 | 2% |
| Other | 47 | 17% |
| Unknown | 96 | 34% |