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Mendeley readers
| Title |
Big Data, Cloud Computing, Data Science & Engineering
|
|---|---|
| Published by |
Springer International Publishing, October 2018
|
| DOI | 10.1007/978-3-319-96803-2 |
| ISBNs |
978-3-31-996802-5, 978-3-31-996803-2
|
| Editors |
Lee, Roger |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 21% |
| Student > Bachelor | 6 | 16% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Doctoral Student | 3 | 8% |
| Lecturer | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 12 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 13 | 34% |
| Computer Science | 7 | 18% |
| Economics, Econometrics and Finance | 2 | 5% |
| Engineering | 2 | 5% |
| Chemistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 32% |