| Title |
A Semi-Supervised Method for Predicting Transcription Factor–Gene Interactions in Escherichia coli
|
|---|---|
| Published in |
PLoS Computational Biology, March 2008
|
| DOI | 10.1371/journal.pcbi.1000044 |
| Pubmed ID | |
| Authors |
Jason Ernst, Qasim K. Beg, Krin A. Kay, Gábor Balázsi, Zoltán N. Oltvai, Ziv Bar-Joseph |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 5% |
| Belgium | 4 | 3% |
| Hong Kong | 1 | <1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Israel | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 97 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 32% |
| Researcher | 29 | 25% |
| Student > Master | 13 | 11% |
| Professor > Associate Professor | 8 | 7% |
| Other | 5 | 4% |
| Other | 13 | 11% |
| Unknown | 12 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 43% |
| Biochemistry, Genetics and Molecular Biology | 18 | 15% |
| Computer Science | 15 | 13% |
| Engineering | 5 | 4% |
| Medicine and Dentistry | 4 | 3% |
| Other | 11 | 9% |
| Unknown | 14 | 12% |