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X Demographics
Mendeley readers
Chapter title |
Identifying Risks in Datasets for Automated Decision–Making
|
---|---|
Chapter number | 25 |
Book title |
Electronic Government
|
Published by |
Springer, Cham, August 2020
|
DOI | 10.1007/978-3-030-57599-1_25 |
Book ISBNs |
978-3-03-057598-4, 978-3-03-057599-1
|
Authors |
Mariachiara Mecati, Flavio Emanuele Cannavò, Antonio Vetrò, Marco Torchiano, Mecati, Mariachiara, Cannavò, Flavio Emanuele, Vetrò, Antonio, Torchiano, Marco |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 63 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 14% |
Student > Doctoral Student | 7 | 11% |
Student > Master | 6 | 10% |
Researcher | 4 | 6% |
Professor | 3 | 5% |
Other | 9 | 14% |
Unknown | 25 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 16% |
Business, Management and Accounting | 9 | 14% |
Social Sciences | 7 | 11% |
Economics, Econometrics and Finance | 2 | 3% |
Design | 2 | 3% |
Other | 6 | 10% |
Unknown | 27 | 43% |