| Title |
A Probabilistic Model of Local Sequence Alignment That Simplifies Statistical Significance Estimation
|
|---|---|
| Published in |
PLoS Computational Biology, May 2008
|
| DOI | 10.1371/journal.pcbi.1000069 |
| Pubmed ID | |
| Authors |
Sean R. Eddy |
Mendeley readers
The data shown below were compiled from readership statistics for 365 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 5% |
| Sweden | 5 | 1% |
| Germany | 3 | <1% |
| Brazil | 2 | <1% |
| Japan | 2 | <1% |
| Spain | 2 | <1% |
| Canada | 2 | <1% |
| France | 1 | <1% |
| Czechia | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 322 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 101 | 28% |
| Researcher | 88 | 24% |
| Student > Master | 43 | 12% |
| Student > Bachelor | 27 | 7% |
| Professor > Associate Professor | 23 | 6% |
| Other | 52 | 14% |
| Unknown | 31 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 179 | 49% |
| Biochemistry, Genetics and Molecular Biology | 63 | 17% |
| Computer Science | 44 | 12% |
| Mathematics | 8 | 2% |
| Engineering | 8 | 2% |
| Other | 26 | 7% |
| Unknown | 37 | 10% |