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Mendeley readers
Chapter title |
Differential Correct Attribution Probability for Synthetic Data: An Exploration
|
---|---|
Chapter number | 9 |
Book title |
Privacy in Statistical Databases
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-319-99771-1_9 |
Book ISBNs |
978-3-31-999770-4, 978-3-31-999771-1
|
Authors |
Jennifer Taub, Mark Elliot, Maria Pampaka, Duncan Smith, Taub, Jennifer, Elliot, Mark, Pampaka, Maria, Smith, Duncan |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 30% |
Student > Master | 3 | 30% |
Student > Doctoral Student | 1 | 10% |
Researcher | 1 | 10% |
Unknown | 2 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 40% |
Mathematics | 2 | 20% |
Engineering | 1 | 10% |
Design | 1 | 10% |
Unknown | 2 | 20% |