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Mendeley readers
| Title |
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
|
|---|---|
| Published in |
BMC Bioinformatics, December 2006
|
| DOI | 10.1186/1471-2105-7-538 |
| Pubmed ID | |
| Authors |
Maureen A Sartor, Craig R Tomlinson, Scott C Wesselkamper, Siva Sivaganesan, George D Leikauf, Mario Medvedovic |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| United States | 2 | 1% |
| India | 1 | <1% |
| Israel | 1 | <1% |
| Netherlands | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Denmark | 1 | <1% |
| Russia | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 122 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 36% |
| Researcher | 33 | 25% |
| Student > Bachelor | 12 | 9% |
| Student > Master | 9 | 7% |
| Other | 6 | 4% |
| Other | 14 | 10% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 35% |
| Biochemistry, Genetics and Molecular Biology | 17 | 13% |
| Medicine and Dentistry | 15 | 11% |
| Computer Science | 8 | 6% |
| Mathematics | 7 | 5% |
| Other | 21 | 16% |
| Unknown | 19 | 14% |