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Mendeley readers
Title |
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
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Published in |
BMC Bioinformatics, December 2006
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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 135 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 | 123 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 48 | 36% |
Researcher | 33 | 24% |
Student > Bachelor | 12 | 9% |
Student > Master | 9 | 7% |
Other | 6 | 4% |
Other | 16 | 12% |
Unknown | 11 | 8% |
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 | 23 | 17% |
Unknown | 18 | 13% |