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Mendeley readers
| Title |
Clustering Methods for Big Data Analytics
|
|---|---|
| Published by |
Springer International Publishing, October 2018
|
| DOI | 10.1007/978-3-319-97864-2 |
| ISBNs |
978-3-31-997863-5, 978-3-31-997864-2
|
| Editors |
Nasraoui, Olfa, Ben N'Cir, Chiheb-Eddine |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Researcher | 6 | 15% |
| Student > Bachelor | 6 | 15% |
| Student > Master | 5 | 13% |
| Lecturer | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 43% |
| Mathematics | 3 | 8% |
| Engineering | 3 | 8% |
| Social Sciences | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 11 | 28% |