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Electronic Participation

Overview of attention for book
Attention for Chapter: Accountable Federated Machine Learning in Government: Engineering and Management Insights
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2 X users

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41 Mendeley
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Chapter title
Accountable Federated Machine Learning in Government: Engineering and Management Insights
Book title
Electronic Participation
Published by
Springer, Cham, August 2021
DOI 10.1007/978-3-030-82824-0_10
Book ISBNs
978-3-03-082823-3, 978-3-03-082824-0
Authors

Balta, Dian, Sellami, Mahdi, Kuhn, Peter, Schöpp, Ulrich, Buchinger, Matthias, Baracaldo, Nathalie, Anwar, Ali, Ludwig, Heiko, Sinn, Mathieu, Purcell, Mark, Altakrouri, Bashar

X Demographics

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 12%
Student > Doctoral Student 5 12%
Student > Master 3 7%
Professor 2 5%
Researcher 2 5%
Other 7 17%
Unknown 17 41%
Readers by discipline Count As %
Social Sciences 7 17%
Computer Science 5 12%
Business, Management and Accounting 4 10%
Decision Sciences 2 5%
Economics, Econometrics and Finance 2 5%
Other 3 7%
Unknown 18 44%