You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
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% |