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Mendeley readers
| Title |
Automated SNP detection from a large collection of white spruce expressed sequences: contributing factors and approaches for the categorization of SNPs
|
|---|---|
| Published in |
BMC Genomics, July 2006
|
| DOI | 10.1186/1471-2164-7-174 |
| Pubmed ID | |
| Authors |
Nathalie Pavy, Lee S Parsons, Charles Paule, John MacKay, Jean Bousquet |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| Spain | 2 | 2% |
| Brazil | 2 | 2% |
| Norway | 1 | <1% |
| Sweden | 1 | <1% |
| Malaysia | 1 | <1% |
| Romania | 1 | <1% |
| Slovenia | 1 | <1% |
| Russia | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 92 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 41% |
| Student > Ph. D. Student | 20 | 19% |
| Student > Master | 9 | 9% |
| Professor | 8 | 8% |
| Professor > Associate Professor | 7 | 7% |
| Other | 13 | 12% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 82% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Medicine and Dentistry | 2 | 2% |
| Computer Science | 2 | 2% |
| Chemical Engineering | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 6 | 6% |