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Mendeley readers
| Chapter title |
Big Data Provenance: Challenges and Implications for Benchmarking
|
|---|---|
| Chapter number | 7 |
| Book title |
Specifying Big Data Benchmarks
|
| Published by |
Springer, Berlin, Heidelberg, January 2014
|
| DOI | 10.1007/978-3-642-53974-9_7 |
| Book ISBNs |
978-3-64-253973-2, 978-3-64-253974-9
|
| Authors |
Boris Glavic, Glavic, Boris |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 2 | 2% |
| Mexico | 1 | <1% |
| Uruguay | 1 | <1% |
| Unknown | 100 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 26% |
| Student > Master | 24 | 23% |
| Researcher | 13 | 12% |
| Student > Doctoral Student | 10 | 9% |
| Student > Bachelor | 6 | 6% |
| Other | 20 | 19% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 67 | 63% |
| Engineering | 6 | 6% |
| Business, Management and Accounting | 4 | 4% |
| Social Sciences | 3 | 3% |
| Chemistry | 3 | 3% |
| Other | 11 | 10% |
| Unknown | 12 | 11% |