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X Demographics
Mendeley readers
| Title |
Rule Based Systems for Big Data
|
|---|---|
| Published by |
Springer International Publishing, January 2016
|
| DOI | 10.1007/978-3-319-23696-4 |
| ISBNs |
978-3-31-923695-7, 978-3-31-923696-4
|
| Authors |
Liu, Han, Gegov, Alexander, Cocea, Mihaela, Han Liu, Alexander Gegov, Mihaela Cocea |
X Demographics
The data shown below were collected from the profiles of 7 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 | 5 | 71% |
| Canada | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 48 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 4 | 8% |
| Lecturer | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 49% |
| Engineering | 5 | 10% |
| Business, Management and Accounting | 2 | 4% |
| Unspecified | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 12 | 24% |