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Mendeley readers
| Title |
Emerging Technology and Architecture for Big-data Analytics
|
|---|---|
| Published by |
Springer International Publishing, April 2017
|
| DOI | 10.1007/978-3-319-54840-1 |
| ISBNs |
978-3-31-954839-5, 978-3-31-954840-1
|
| Editors |
Chattopadhyay, Anupam, Chang, Chip Hong, Yu, Hao |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 64 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 24% |
| Student > Master | 13 | 20% |
| Researcher | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 15 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 21 | 32% |
| Computer Science | 12 | 18% |
| Economics, Econometrics and Finance | 8 | 12% |
| Mathematics | 2 | 3% |
| Business, Management and Accounting | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 17 | 26% |