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Mendeley readers
| Title |
WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomic analysis
|
|---|---|
| Published in |
BMC Bioinformatics, April 2010
|
| DOI | 10.1186/1471-2105-11-219 |
| Pubmed ID | |
| Authors |
Fan Mo, Qun Mo, Yuanyuan Chen, David R Goodlett, Leroy Hood, Gilbert S Omenn, Song Li, Biaoyang Lin |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| China | 1 | 2% |
| Unknown | 39 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 28% |
| Student > Ph. D. Student | 8 | 19% |
| Student > Master | 5 | 12% |
| Professor | 4 | 9% |
| Student > Doctoral Student | 2 | 5% |
| Other | 9 | 21% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 37% |
| Computer Science | 7 | 16% |
| Chemistry | 4 | 9% |
| Medicine and Dentistry | 3 | 7% |
| Mathematics | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 3 | 7% |