You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Optimized mixed Markov models for motif identification
|
|---|---|
| Published in |
BMC Bioinformatics, June 2006
|
| DOI | 10.1186/1471-2105-7-279 |
| Pubmed ID | |
| Authors |
Weichun Huang, David M Umbach, Uwe Ohler, Leping Li |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| France | 1 | 3% |
| Germany | 1 | 3% |
| Greece | 1 | 3% |
| China | 1 | 3% |
| Unknown | 28 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 29% |
| Researcher | 5 | 15% |
| Professor | 3 | 9% |
| Other | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Other | 6 | 18% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 38% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Computer Science | 5 | 15% |
| Decision Sciences | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 5 | 15% |