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Mendeley readers
Chapter title |
Towards Personal Data Identification and Anonymization Using Machine Learning Techniques
|
---|---|
Chapter number | 13 |
Book title |
New Trends in Databases and Information Systems
|
Published by |
Springer, Cham, August 2018
|
DOI | 10.1007/978-3-030-00063-9_13 |
Book ISBNs |
978-3-03-000062-2, 978-3-03-000063-9
|
Authors |
Francesco Di Cerbo, Slim Trabelsi, Di Cerbo, Francesco, Trabelsi, Slim |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 13% |
Lecturer | 2 | 8% |
Researcher | 2 | 8% |
Student > Ph. D. Student | 2 | 8% |
Student > Doctoral Student | 1 | 4% |
Other | 4 | 17% |
Unknown | 10 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 29% |
Social Sciences | 3 | 13% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Unspecified | 1 | 4% |
Psychology | 1 | 4% |
Other | 1 | 4% |
Unknown | 10 | 42% |