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Mendeley readers
| Title |
Accurate splice site prediction using support vector machines
|
|---|---|
| Published in |
BMC Bioinformatics, December 2007
|
| DOI | 10.1186/1471-2105-8-s10-s7 |
| Pubmed ID | |
| Authors |
Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr, Gunnar Rätsch |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| United Kingdom | 2 | 2% |
| France | 1 | <1% |
| Finland | 1 | <1% |
| Germany | 1 | <1% |
| India | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 101 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 34% |
| Researcher | 21 | 19% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 6 | 5% |
| Other | 17 | 15% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 35% |
| Computer Science | 37 | 33% |
| Biochemistry, Genetics and Molecular Biology | 11 | 10% |
| Engineering | 4 | 4% |
| Mathematics | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 16 | 14% |