The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Title |
Federated Learning for Privacy-Aware Human Mobility Modeling
|
---|---|
Published in |
Frontiers in Artificial Intelligence, June 2022
|
DOI | 10.3389/frai.2022.867046 |
Pubmed ID | |
Authors |
Castro Elizondo Jose Ezequiel, Martin Gjoreski, Marc Langheinrich |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 17% |
Researcher | 2 | 11% |
Unspecified | 1 | 6% |
Professor | 1 | 6% |
Lecturer | 1 | 6% |
Other | 2 | 11% |
Unknown | 8 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 28% |
Unspecified | 1 | 6% |
Sports and Recreations | 1 | 6% |
Medicine and Dentistry | 1 | 6% |
Engineering | 1 | 6% |
Other | 0 | 0% |
Unknown | 9 | 50% |