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X Demographics
Mendeley readers
Title |
Intelligent Data Engineering and Automated Learning – IDEAL 2017
|
---|---|
Published by |
Springer, Cham, January 2017
|
DOI | 10.1007/978-3-319-68935-7 |
ISBNs |
978-3-31-968934-0, 978-3-31-968935-7
|
Editors |
Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Minling Zhang |
X Demographics
The data shown below were collected from the profiles of 66 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 20 | 30% |
United Kingdom | 5 | 8% |
Germany | 4 | 6% |
Australia | 3 | 5% |
Denmark | 3 | 5% |
Canada | 2 | 3% |
Sweden | 2 | 3% |
France | 2 | 3% |
Netherlands | 1 | 2% |
Other | 2 | 3% |
Unknown | 22 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 35 | 53% |
Members of the public | 29 | 44% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 67% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 33% |
Engineering | 1 | 33% |
Unknown | 1 | 33% |