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X Demographics
Mendeley readers
Title |
Intelligent Data Engineering and Automated Learning – IDEAL 2018
|
---|---|
Published by |
Springer International Publishing, January 2018
|
DOI | 10.1007/978-3-030-03493-1 |
ISBNs |
978-3-03-003492-4, 978-3-03-003493-1
|
Editors |
Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros |
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 % |
---|---|---|
Spain | 3 | 43% |
Poland | 1 | 14% |
France | 1 | 14% |
Netherlands | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 32% |
Student > Ph. D. Student | 8 | 29% |
Student > Bachelor | 2 | 7% |
Lecturer | 2 | 7% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 2 | 7% |
Unknown | 4 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 50% |
Engineering | 2 | 7% |
Linguistics | 1 | 4% |
Business, Management and Accounting | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Other | 3 | 11% |
Unknown | 6 | 21% |