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Mendeley readers
Title |
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filtering features
|
---|---|
Published in |
BMC Bioinformatics, June 2007
|
DOI | 10.1186/1471-2105-8-182 |
Pubmed ID | |
Authors |
Andrew S Peek |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 26% |
Student > Ph. D. Student | 6 | 22% |
Professor | 3 | 11% |
Student > Bachelor | 3 | 11% |
Student > Master | 3 | 11% |
Other | 2 | 7% |
Unknown | 3 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 44% |
Biochemistry, Genetics and Molecular Biology | 4 | 15% |
Engineering | 3 | 11% |
Medicine and Dentistry | 2 | 7% |
Computer Science | 1 | 4% |
Other | 2 | 7% |
Unknown | 3 | 11% |