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Mendeley readers
| Title |
Improved results in proteomics by use of local and peptide-class specific false discovery rates
|
|---|---|
| Published in |
BMC Bioinformatics, June 2009
|
| DOI | 10.1186/1471-2105-10-179 |
| Pubmed ID | |
| Authors |
Lau Sennels, Jimi-Carlo Bukowski-Wills, Juri Rappsilber |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 2 | 3% |
| United States | 1 | 1% |
| Unknown | 71 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 23% |
| Student > Ph. D. Student | 15 | 20% |
| Student > Master | 13 | 18% |
| Student > Bachelor | 6 | 8% |
| Professor > Associate Professor | 5 | 7% |
| Other | 9 | 12% |
| Unknown | 9 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 39% |
| Biochemistry, Genetics and Molecular Biology | 16 | 22% |
| Chemistry | 5 | 7% |
| Medicine and Dentistry | 4 | 5% |
| Neuroscience | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 12 | 16% |