| Title |
Revealing Posttranscriptional Regulatory Elements Through Network-Level Conservation
|
|---|---|
| Published in |
PLoS Computational Biology, December 2005
|
| DOI | 10.1371/journal.pcbi.0010069 |
| Pubmed ID | |
| Authors |
Chang S Chan, Olivier Elemento, Saeed Tavazoie |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 7% |
| France | 2 | 2% |
| Brazil | 2 | 2% |
| United Kingdom | 2 | 2% |
| Spain | 2 | 2% |
| India | 1 | <1% |
| Belgium | 1 | <1% |
| Germany | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 88 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 28% |
| Student > Ph. D. Student | 27 | 25% |
| Professor | 9 | 8% |
| Student > Master | 8 | 7% |
| Student > Bachelor | 8 | 7% |
| Other | 20 | 18% |
| Unknown | 7 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 65% |
| Computer Science | 10 | 9% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Medicine and Dentistry | 5 | 5% |
| Engineering | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 10 | 9% |