| Title |
Parsimonious Higher-Order Hidden Markov Models for Improved Array-CGH Analysis with Applications to Arabidopsis thaliana
|
|---|---|
| Published in |
PLoS Computational Biology, January 2012
|
| DOI | 10.1371/journal.pcbi.1002286 |
| Pubmed ID | |
| Authors |
Michael Seifert, André Gohr, Marc Strickert, Ivo Grosse |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Spain | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 26 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 34% |
| Student > Ph. D. Student | 9 | 31% |
| Student > Master | 4 | 14% |
| Professor > Associate Professor | 3 | 10% |
| Professor | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 41% |
| Computer Science | 6 | 21% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Mathematics | 2 | 7% |
| Engineering | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 1 | 3% |