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Mendeley readers
| Title |
Mobile Big Data
|
|---|---|
| Published by |
Springer, Cham, November 2017
|
| DOI | 10.1007/978-3-319-67925-9 |
| ISBNs |
978-3-31-967924-2, 978-3-31-967925-9
|
| Editors |
Georgios Skourletopoulos, George Mastorakis, Constandinos X. Mavromoustakis, Ciprian Dobre, Evangelos Pallis |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 29% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Lecturer | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 24% |
| Nursing and Health Professions | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Environmental Science | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 9 | 43% |