Title |
Urban Artificial Intelligence: From Automation to Autonomy in the Smart City
|
---|---|
Published by |
Frontiers, July 2020
|
DOI | 10.3389/frsc.2020.00038 |
Authors |
Federico Cugurullo |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 2 | 29% |
United Kingdom | 1 | 14% |
Ukraine | 1 | 14% |
South Africa | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 252 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 252 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 8% |
Researcher | 19 | 8% |
Student > Master | 19 | 8% |
Student > Bachelor | 10 | 4% |
Student > Doctoral Student | 9 | 4% |
Other | 40 | 16% |
Unknown | 135 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 29 | 12% |
Engineering | 23 | 9% |
Computer Science | 18 | 7% |
Arts and Humanities | 9 | 4% |
Business, Management and Accounting | 8 | 3% |
Other | 31 | 12% |
Unknown | 134 | 53% |