Machine Learning Methods for Stylometry
Springer International Publishing
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Timeline
X Demographics
Mendeley readers
| Title |
Machine Learning Methods for Stylometry
|
|---|---|
| Published by |
Springer International Publishing, September 2020
|
| DOI | 10.1007/978-3-030-53360-1 |
| ISBNs |
978-3-03-053359-5, 978-3-03-053360-1
|
| Authors |
Savoy, Jacques |
X Demographics
The data shown below were collected from the profiles of 4 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 % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 20% |
| Student > Postgraduate | 4 | 8% |
| Professor | 4 | 8% |
| Lecturer | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 18 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 20% |
| Linguistics | 6 | 12% |
| Engineering | 4 | 8% |
| Social Sciences | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 20 | 41% |