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Mendeley readers
| Title |
Correlating gene and protein expression data using Correlated Factor Analysis
|
|---|---|
| Published in |
BMC Bioinformatics, September 2009
|
| DOI | 10.1186/1471-2105-10-272 |
| Pubmed ID | |
| Authors |
Chuen Seng Tan, Agus Salim, Alexander Ploner, Janne Lehtiö, Kee Seng Chia, Yudi Pawitan |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| United States | 2 | 4% |
| Unknown | 50 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 31% |
| Student > Ph. D. Student | 10 | 19% |
| Professor > Associate Professor | 6 | 11% |
| Student > Postgraduate | 3 | 6% |
| Professor | 2 | 4% |
| Other | 9 | 17% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 41% |
| Computer Science | 9 | 17% |
| Mathematics | 6 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 7 | 13% |