You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
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.
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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 22% |
Student > Postgraduate | 4 | 9% |
Professor | 4 | 9% |
Researcher | 3 | 7% |
Lecturer | 2 | 4% |
Other | 6 | 13% |
Unknown | 16 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 22% |
Linguistics | 6 | 13% |
Engineering | 3 | 7% |
Social Sciences | 2 | 4% |
Nursing and Health Professions | 1 | 2% |
Other | 5 | 11% |
Unknown | 18 | 40% |