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Mendeley readers
Chapter title |
From TPC-C to Big Data Benchmarks: A Functional Workload Model
|
---|---|
Chapter number | 4 |
Book title |
Specifying Big Data Benchmarks
|
Published by |
Springer, Berlin, Heidelberg, January 2014
|
DOI | 10.1007/978-3-642-53974-9_4 |
Book ISBNs |
978-3-64-253973-2, 978-3-64-253974-9
|
Authors |
Yanpei Chen, Francois Raab, Randy Katz, Chen, Yanpei, Raab, Francois, Katz, Randy |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 2% |
Australia | 1 | 2% |
Brazil | 1 | 2% |
China | 1 | 2% |
Greece | 1 | 2% |
United States | 1 | 2% |
Unknown | 39 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 33% |
Student > Ph. D. Student | 11 | 24% |
Student > Doctoral Student | 3 | 7% |
Student > Bachelor | 3 | 7% |
Other | 3 | 7% |
Other | 9 | 20% |
Unknown | 1 | 2% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 34 | 76% |
Engineering | 4 | 9% |
Business, Management and Accounting | 1 | 2% |
Physics and Astronomy | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 2 | 4% |
Unknown | 2 | 4% |