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X Demographics
Mendeley readers
Title |
Logic modeling and the ridiculome under the rug
|
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Published in |
BMC Biology, November 2012
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DOI | 10.1186/1741-7007-10-92 |
Pubmed ID | |
Authors |
Michael L Blinov, Ion I Moraru |
Abstract |
Logic-derived modeling has been used to map biological networks and to study arbitrary functional interactions, and fine-grained kinetic modeling can accurately predict the detailed behavior of well-characterized molecular systems; at present, however, neither approach comes close to unraveling the full complexity of a cell. The current data revolution offers significant promises and challenges to both approaches - and could bring them together as it has spurred the development of new methods and tools that may help to bridge the many gaps between data, models, and mechanistic understanding. |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 8 | 27% |
United States | 5 | 17% |
Spain | 2 | 7% |
France | 1 | 3% |
Malta | 1 | 3% |
Denmark | 1 | 3% |
Mexico | 1 | 3% |
Philippines | 1 | 3% |
Venezuela, Bolivarian Republic of | 1 | 3% |
Other | 2 | 7% |
Unknown | 7 | 23% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 50% |
Scientists | 13 | 43% |
Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 6% |
United Kingdom | 3 | 3% |
Portugal | 2 | 2% |
Spain | 2 | 2% |
Singapore | 1 | 1% |
Iran, Islamic Republic of | 1 | 1% |
Germany | 1 | 1% |
Denmark | 1 | 1% |
Chile | 1 | 1% |
Other | 2 | 2% |
Unknown | 76 | 79% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 30 | 31% |
Student > Ph. D. Student | 19 | 20% |
Professor > Associate Professor | 11 | 11% |
Other | 8 | 8% |
Professor | 6 | 6% |
Other | 13 | 14% |
Unknown | 9 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 52 | 54% |
Biochemistry, Genetics and Molecular Biology | 14 | 15% |
Computer Science | 5 | 5% |
Engineering | 3 | 3% |
Medicine and Dentistry | 2 | 2% |
Other | 7 | 7% |
Unknown | 13 | 14% |