| Title |
A Feature-Based Approach to Modeling Protein–DNA Interactions
|
|---|---|
| Published in |
PLoS Computational Biology, August 2008
|
| DOI | 10.1371/journal.pcbi.1000154 |
| Pubmed ID | |
| Authors |
Eilon Sharon, Shai Lubliner, Eran Segal |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Germany | 3 | 2% |
| Israel | 3 | 2% |
| China | 3 | 2% |
| Australia | 1 | <1% |
| Canada | 1 | <1% |
| Switzerland | 1 | <1% |
| Belgium | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 125 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 34% |
| Researcher | 35 | 24% |
| Professor > Associate Professor | 14 | 10% |
| Professor | 12 | 8% |
| Student > Master | 10 | 7% |
| Other | 17 | 12% |
| Unknown | 8 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 72 | 50% |
| Biochemistry, Genetics and Molecular Biology | 25 | 17% |
| Computer Science | 23 | 16% |
| Medicine and Dentistry | 4 | 3% |
| Engineering | 3 | 2% |
| Other | 8 | 6% |
| Unknown | 10 | 7% |