Intelligent Data Engineering and Automated Learning – IDEAL 2021
Springer International Publishing
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
| Title |
Intelligent Data Engineering and Automated Learning – IDEAL 2021
|
|---|---|
| Published by |
Springer International Publishing, January 2021
|
| DOI | 10.1007/978-3-030-91608-4 |
| ISBNs |
978-3-03-091607-7, 978-3-03-091608-4
|
| Editors |
Hujun Yin, David Camacho, Peter Tino, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento |
X Demographics
The data shown below were collected from the profiles of 23 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 | 7 | 30% |
| Portugal | 3 | 13% |
| Germany | 3 | 13% |
| Japan | 2 | 9% |
| Switzerland | 1 | 4% |
| Ukraine | 1 | 4% |
| Unknown | 6 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 74% |
| Scientists | 6 | 26% |