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Mendeley readers
| Title |
Big Data
|
|---|---|
| Published by |
Springer International Publishing, May 2014
|
| DOI | 10.1007/978-3-319-06245-7 |
| ISBNs |
978-3-31-906244-0, 978-3-31-906245-7
|
| Authors |
Chen, Min, Mao, Shiwen, Zhang, Yin, Leung, Victor C.M. |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | <1% |
| Unknown | 112 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 5% |
| Student > Doctoral Student | 2 | 2% |
| Student > Bachelor | 2 | 2% |
| Lecturer | 1 | <1% |
| Lecturer > Senior Lecturer | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 101 | 89% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 5% |
| Business, Management and Accounting | 2 | 2% |
| Agricultural and Biological Sciences | 1 | <1% |
| Energy | 1 | <1% |
| Engineering | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 101 | 89% |