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Mendeley readers
| Title |
A comparative study of S/MAR prediction tools
|
|---|---|
| Published in |
BMC Bioinformatics, March 2007
|
| DOI | 10.1186/1471-2105-8-71 |
| Pubmed ID | |
| Authors |
Kenneth Evans, Sascha Ott, Annika Hansen, Georgy Koentges, Lorenz Wernisch |
Mendeley readers
The data shown below were compiled from readership statistics for 76 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% |
| Australia | 1 | 1% |
| Brazil | 1 | 1% |
| Sweden | 1 | 1% |
| Portugal | 1 | 1% |
| Switzerland | 1 | 1% |
| India | 1 | 1% |
| Spain | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 64 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 18% |
| Researcher | 13 | 17% |
| Professor > Associate Professor | 9 | 12% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Other | 17 | 22% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 59% |
| Biochemistry, Genetics and Molecular Biology | 14 | 18% |
| Psychology | 2 | 3% |
| Engineering | 2 | 3% |
| Immunology and Microbiology | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 10 | 13% |