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.
Mendeley readers
| Chapter title |
Adaptive Differentially Private Histogram of Low-Dimensional Data
|
|---|---|
| Chapter number | 9 |
| Book title |
Privacy Enhancing Technologies
|
| Published by |
Springer, Berlin, Heidelberg, July 2012
|
| DOI | 10.1007/978-3-642-31680-7_9 |
| Book ISBNs |
978-3-64-231679-1, 978-3-64-231680-7
|
| Authors |
Chengfang Fang, Ee-Chien Chang, Fang, Chengfang, Chang, Ee-Chien |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 5% |
| Denmark | 1 | 5% |
| Unknown | 19 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 38% |
| Student > Master | 5 | 24% |
| Other | 2 | 10% |
| Researcher | 2 | 10% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 67% |
| Mathematics | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 14% |