| Title |
Model-Based Deconvolution of Cell Cycle Time-Series Data Reveals Gene Expression Details at High Resolution
|
|---|---|
| Published in |
PLoS Computational Biology, August 2009
|
| DOI | 10.1371/journal.pcbi.1000460 |
| Pubmed ID | |
| Authors |
Dan Siegal-Gaskins, Joshua N. Ash, Sean Crosson |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| United Kingdom | 2 | 3% |
| Brazil | 1 | 1% |
| Denmark | 1 | 1% |
| Turkey | 1 | 1% |
| Unknown | 66 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 31% |
| Student > Ph. D. Student | 15 | 20% |
| Professor > Associate Professor | 12 | 16% |
| Professor | 6 | 8% |
| Student > Master | 5 | 7% |
| Other | 11 | 15% |
| Unknown | 2 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 50% |
| Biochemistry, Genetics and Molecular Biology | 15 | 20% |
| Engineering | 5 | 7% |
| Computer Science | 4 | 5% |
| Mathematics | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 2 | 3% |