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X Demographics
Mendeley readers
Title |
Artificial Intelligence in the Gulf
|
---|---|
Published by |
Springer Singapore, January 2021
|
DOI | 10.1007/978-981-16-0771-4 |
ISBNs |
978-9-81-160770-7, 978-9-81-160771-4
|
Editors |
Elie Azar, Anthony N. Haddad |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 25% |
Canada | 1 | 25% |
Ethiopia | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 9% |
Professor | 1 | 4% |
Researcher | 1 | 4% |
Lecturer > Senior Lecturer | 1 | 4% |
Unknown | 18 | 78% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 1 | 4% |
Business, Management and Accounting | 1 | 4% |
Linguistics | 1 | 4% |
Computer Science | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Other | 0 | 0% |
Unknown | 18 | 78% |