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Mendeley readers
| Title |
Active machine learning for transmembrane helix prediction
|
|---|---|
| Published in |
BMC Bioinformatics, January 2010
|
| DOI | 10.1186/1471-2105-11-s1-s58 |
| Pubmed ID | |
| Authors |
Hatice U Osmanbeyoglu, Jessica A Wehner, Jaime G Carbonell, Madhavi K Ganapathiraju |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Netherlands | 1 | 3% |
| Greece | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 28 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 25% |
| Researcher | 6 | 19% |
| Student > Bachelor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 34% |
| Computer Science | 6 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Medicine and Dentistry | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 6 | 19% |