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Mendeley readers
| Title |
A genetic algorithm-Bayesian network approach for the analysis of metabolomics and spectroscopic data: application to the rapid identification of Bacillus spores and classification of Bacillus species
|
|---|---|
| Published in |
BMC Bioinformatics, January 2011
|
| DOI | 10.1186/1471-2105-12-33 |
| Pubmed ID | |
| Authors |
Elon Correa, Royston Goodacre |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| United Kingdom | 2 | 2% |
| Switzerland | 1 | 1% |
| Germany | 1 | 1% |
| India | 1 | 1% |
| Unknown | 77 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 27% |
| Researcher | 15 | 18% |
| Student > Master | 7 | 8% |
| Student > Bachelor | 6 | 7% |
| Professor > Associate Professor | 5 | 6% |
| Other | 16 | 19% |
| Unknown | 12 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 29% |
| Engineering | 11 | 13% |
| Computer Science | 9 | 11% |
| Chemistry | 6 | 7% |
| Medicine and Dentistry | 5 | 6% |
| Other | 17 | 20% |
| Unknown | 12 | 14% |