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X Demographics
Mendeley readers
| Chapter title |
Anomaly Detection from Distributed Data Sources via Federated Learning
|
|---|---|
| Chapter number | 27 |
| Book title |
Advanced Information Networking and Applications
|
| Published by |
Springer, Cham, January 2022
|
| DOI | 10.1007/978-3-030-99587-4_27 |
| Book ISBNs |
978-3-03-099586-7, 978-3-03-099587-4
|
| Authors |
Cavallin, Florencia, Mayer, Rudolf |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 67% |
| Austria | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 33% |
| Student > Master | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 33% |
| Earth and Planetary Sciences | 1 | 33% |
| Unknown | 1 | 33% |