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Mendeley readers
Chapter title |
Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools
|
---|---|
Chapter number | 3 |
Book title |
Advances in Artificial Intelligence
|
Published by |
Springer, Berlin, Heidelberg, May 2013
|
DOI | 10.1007/978-3-642-38457-8_3 |
Book ISBNs |
978-3-64-238456-1, 978-3-64-238457-8
|
Authors |
Kambiz Ghazinour, Marina Sokolova, Stan Matwin, Ghazinour, Kambiz, Sokolova, Marina, Matwin, Stan |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 36% |
Researcher | 2 | 18% |
Other | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Lecturer > Senior Lecturer | 1 | 9% |
Other | 0 | 0% |
Unknown | 2 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 36% |
Philosophy | 1 | 9% |
Environmental Science | 1 | 9% |
Engineering | 1 | 9% |
Unknown | 4 | 36% |