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X Demographics
Mendeley readers
| Title |
Semantic Web Technologies for Intelligent Engineering Applications
|
|---|---|
| Published by |
Springer International Publishing, January 2016
|
| DOI | 10.1007/978-3-319-41490-4 |
| ISBNs |
978-3-31-941488-1, 978-3-31-941490-4
|
| Editors |
Stefan Biffl, Marta Sabou |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 2% |
| Unknown | 61 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 29% |
| Researcher | 11 | 18% |
| Student > Master | 9 | 15% |
| Student > Bachelor | 6 | 10% |
| Other | 5 | 8% |
| Other | 8 | 13% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 47% |
| Engineering | 13 | 21% |
| Social Sciences | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 10 | 16% |