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Mendeley readers
| Title |
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual information
|
|---|---|
| Published in |
BMC Bioinformatics, November 2008
|
| DOI | 10.1186/1471-2105-9-467 |
| Pubmed ID | |
| Authors |
Weijun Luo, Kurt D Hankenson, Peter J Woolf |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 7% |
| Portugal | 2 | 2% |
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Spain | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 83 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 32% |
| Student > Ph. D. Student | 31 | 31% |
| Student > Master | 10 | 10% |
| Student > Doctoral Student | 6 | 6% |
| Student > Bachelor | 5 | 5% |
| Other | 16 | 16% |
| Unknown | 1 | <1% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 50% |
| Computer Science | 16 | 16% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Neuroscience | 4 | 4% |
| Engineering | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 5 | 5% |