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Mendeley readers
| Title |
Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy
|
|---|---|
| Published in |
BMC Bioinformatics, October 2009
|
| DOI | 10.1186/1471-2105-10-361 |
| Pubmed ID | |
| Authors |
Zheng Rong Yang |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 30% |
| Researcher | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Student > Master | 3 | 13% |
| Professor | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 22% |
| Computer Science | 4 | 17% |
| Psychology | 2 | 9% |
| Mathematics | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 7 | 30% |
| Unknown | 3 | 13% |