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Mendeley readers
| Chapter title |
NOSQL Databases
|
|---|---|
| Chapter number | 8 |
| Book title |
Data-intensive Systems
|
| Published by |
Springer, Cham, January 2019
|
| DOI | 10.1007/978-3-030-04603-3_8 |
| Book ISBNs |
978-3-03-004602-6, 978-3-03-004603-3
|
| Authors |
Tomasz Wiktorski, Wiktorski, Tomasz |
Mendeley readers
The data shown below were compiled from readership statistics for 1,064 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | <1% |
| Spain | 6 | <1% |
| United Kingdom | 6 | <1% |
| Germany | 5 | <1% |
| Finland | 4 | <1% |
| South Africa | 4 | <1% |
| China | 3 | <1% |
| Australia | 3 | <1% |
| India | 3 | <1% |
| Other | 34 | 3% |
| Unknown | 987 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 286 | 27% |
| Student > Bachelor | 212 | 20% |
| Student > Ph. D. Student | 131 | 12% |
| Researcher | 80 | 8% |
| Student > Postgraduate | 56 | 5% |
| Other | 141 | 13% |
| Unknown | 158 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 691 | 65% |
| Engineering | 98 | 9% |
| Business, Management and Accounting | 23 | 2% |
| Agricultural and Biological Sciences | 14 | 1% |
| Mathematics | 10 | <1% |
| Other | 54 | 5% |
| Unknown | 174 | 16% |