| Title |
Toward a comprehensive language for biological systems
|
|---|---|
| Published in |
BMC Biology, October 2011
|
| DOI | 10.1186/1741-7007-9-68 |
| Pubmed ID | |
| Authors |
James R Faeder |
| Abstract |
Rule-based modeling has become a powerful approach for modeling intracellular networks, which are characterized by rich molecular diversity. Truly comprehensive models of cell behavior, however, must address spatial complexity at both the intracellular level and at the level of interacting populations of cells, and will require richer modeling languages and tools. A recent paper in BMC Systems Biology represents a signifcant step toward the development of a unified modeling language and software platform for the development of multi-level, multiscale biological models. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 8% |
| United Kingdom | 4 | 3% |
| Brazil | 3 | 3% |
| Mexico | 2 | 2% |
| Portugal | 2 | 2% |
| Bulgaria | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Chile | 1 | <1% |
| Singapore | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 87 | 75% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 37% |
| Student > Ph. D. Student | 29 | 25% |
| Student > Bachelor | 7 | 6% |
| Other | 6 | 5% |
| Professor | 5 | 4% |
| Other | 17 | 15% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 67 | 58% |
| Biochemistry, Genetics and Molecular Biology | 9 | 8% |
| Computer Science | 7 | 6% |
| Medicine and Dentistry | 6 | 5% |
| Engineering | 6 | 5% |
| Other | 10 | 9% |
| Unknown | 11 | 9% |