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 2019
|
|---|---|
| Published by |
Springer International Publishing, January 2019
|
| DOI | 10.1007/978-3-030-33617-2 |
| ISBNs |
978-3-03-033616-5, 978-3-03-033617-2
|
| Editors |
Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger |
X Demographics
The data shown below were collected from the profiles of 12 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 Kingdom | 7 | 58% |
| Venezuela, Bolivarian Republic of | 1 | 8% |
| Switzerland | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 2 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
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 > Ph. D. Student | 6 | 21% |
| Student > Master | 6 | 21% |
| Researcher | 4 | 14% |
| Student > Doctoral Student | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 39% |
| Engineering | 4 | 14% |
| Physics and Astronomy | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 5 | 18% |