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 |
Efficient Privacy-Preserving Stream Aggregation in Mobile Sensing with Low Aggregation Error
|
|---|---|
| Chapter number | 4 |
| Book title |
Privacy Enhancing Technologies
|
| Published by |
Springer, Berlin, Heidelberg, July 2013
|
| DOI | 10.1007/978-3-642-39077-7_4 |
| Book ISBNs |
978-3-64-239076-0, 978-3-64-239077-7
|
| Authors |
Qinghua Li, Guohong Cao, Li, Qinghua, Cao, Guohong |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 42% |
| Researcher | 4 | 13% |
| Student > Master | 4 | 13% |
| Professor > Associate Professor | 2 | 6% |
| Other | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 58% |
| Engineering | 4 | 13% |
| Mathematics | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 6 | 19% |