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Mendeley readers
| Title |
Activating and inhibiting connections in biological network dynamics
|
|---|---|
| Published in |
Biology Direct, December 2008
|
| DOI | 10.1186/1745-6150-3-49 |
| Pubmed ID | |
| Authors |
Daniel McDonald, Laura Waterbury, Rob Knight, M D Betterton |
| Abstract |
Many studies of biochemical networks have analyzed network topology. Such work has suggested that specific types of network wiring may increase network robustness and therefore confer a selective advantage. However, knowledge of network topology does not allow one to predict network dynamical behavior--for example, whether deleting a protein from a signaling network would maintain the network's dynamical behavior, or induce oscillations or chaos. |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 4% |
| Hungary | 1 | 2% |
| Italy | 1 | 2% |
| Australia | 1 | 2% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 42 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 27% |
| Professor > Associate Professor | 10 | 20% |
| Student > Ph. D. Student | 8 | 16% |
| Professor | 6 | 12% |
| Student > Doctoral Student | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 43% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Computer Science | 3 | 6% |
| Physics and Astronomy | 3 | 6% |
| Mathematics | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 8 | 16% |