| Title |
A Bayesian Network Driven Approach to Model the Transcriptional Response to Nitric Oxide in Saccharomyces cerevisiae
|
|---|---|
| Published in |
PLOS ONE, December 2006
|
| DOI | 10.1371/journal.pone.0000094 |
| Pubmed ID | |
| Authors |
Jingchun Zhu, Ashwini Jambhekar, Aaron Sarver, Joseph DeRisi |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 4% |
| United Kingdom | 1 | 4% |
| Spain | 1 | 4% |
| Japan | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 20 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 24% |
| Student > Ph. D. Student | 5 | 20% |
| Other | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Other | 7 | 28% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 48% |
| Computer Science | 4 | 16% |
| Psychology | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 1 | 4% |