| Title |
Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks
|
|---|---|
| Published in |
PLoS Computational Biology, November 2008
|
| DOI | 10.1371/journal.pcbi.1000213 |
| Pubmed ID | |
| Authors |
Sheila M. Reynolds, Lukas Käll, Michael E. Riffle, Jeff A. Bilmes, William Stafford Noble |
Mendeley readers
The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 1% |
| Denmark | 3 | 1% |
| United States | 3 | 1% |
| Israel | 2 | <1% |
| Australia | 1 | <1% |
| Argentina | 1 | <1% |
| Malaysia | 1 | <1% |
| Greece | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 209 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 27% |
| Researcher | 37 | 16% |
| Student > Master | 26 | 12% |
| Student > Bachelor | 24 | 11% |
| Professor > Associate Professor | 11 | 5% |
| Other | 34 | 15% |
| Unknown | 33 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 83 | 37% |
| Biochemistry, Genetics and Molecular Biology | 53 | 24% |
| Computer Science | 13 | 6% |
| Immunology and Microbiology | 8 | 4% |
| Engineering | 6 | 3% |
| Other | 23 | 10% |
| Unknown | 39 | 17% |