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Mendeley readers
Chapter title |
Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula
|
---|---|
Chapter number | 25 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer Berlin Heidelberg, April 2013
|
DOI | 10.1007/978-3-642-37453-1_25 |
Book ISBNs |
978-3-64-237452-4, 978-3-64-237453-1
|
Authors |
Qian Zhang, Junping Zhang, Chenghai Xue |
Editors |
Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 33% |
Student > Master | 2 | 33% |
Professor > Associate Professor | 1 | 17% |
Unknown | 1 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 33% |
Mathematics | 1 | 17% |
Computer Science | 1 | 17% |
Biochemistry, Genetics and Molecular Biology | 1 | 17% |
Unknown | 1 | 17% |