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Mendeley readers
| Title |
Finding sRNA generative locales from high-throughput sequencing data with NiBLS
|
|---|---|
| Published in |
BMC Bioinformatics, February 2010
|
| DOI | 10.1186/1471-2105-11-93 |
| Pubmed ID | |
| Authors |
Daniel MacLean, Vincent Moulton, David J Studholme |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 2 | 3% |
| Norway | 1 | 2% |
| France | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 52 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 31% |
| Student > Ph. D. Student | 17 | 29% |
| Professor > Associate Professor | 7 | 12% |
| Professor | 4 | 7% |
| Other | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 2 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 76% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Computer Science | 3 | 5% |
| Mathematics | 1 | 2% |
| Engineering | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 5 | 8% |