| Title |
Predicting Shine–Dalgarno Sequence Locations Exposes Genome Annotation Errors
|
|---|---|
| Published in |
PLoS Computational Biology, May 2006
|
| DOI | 10.1371/journal.pcbi.0020057 |
| Pubmed ID | |
| Authors |
J Starmer, A Stomp, M Vouk, D Bitzer |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 5% |
| Germany | 4 | 2% |
| France | 2 | <1% |
| Mexico | 2 | <1% |
| Brazil | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| South Africa | 1 | <1% |
| Israel | 1 | <1% |
| Luxembourg | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 183 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 29% |
| Researcher | 43 | 21% |
| Student > Master | 24 | 12% |
| Student > Bachelor | 24 | 12% |
| Professor | 9 | 4% |
| Other | 30 | 15% |
| Unknown | 17 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 110 | 53% |
| Biochemistry, Genetics and Molecular Biology | 45 | 22% |
| Computer Science | 7 | 3% |
| Immunology and Microbiology | 6 | 3% |
| Chemistry | 5 | 2% |
| Other | 15 | 7% |
| Unknown | 18 | 9% |