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Mendeley readers
| Title |
An exploratory data analysis method to reveal modular latent structures in high-throughput data
|
|---|---|
| Published in |
BMC Bioinformatics, August 2010
|
| DOI | 10.1186/1471-2105-11-440 |
| Pubmed ID | |
| Authors |
Tianwei Yu |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 8% |
| Germany | 1 | 3% |
| France | 1 | 3% |
| Brazil | 1 | 3% |
| Norway | 1 | 3% |
| Belgium | 1 | 3% |
| Sweden | 1 | 3% |
| Unknown | 30 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 26% |
| Student > Ph. D. Student | 9 | 23% |
| Professor > Associate Professor | 5 | 13% |
| Professor | 4 | 10% |
| Other | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 46% |
| Computer Science | 7 | 18% |
| Engineering | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 4 | 10% |