You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Title |
Gene regulatory networks in plants: learning causality from time and perturbation
|
---|---|
Published in |
Genome Biology, June 2013
|
DOI | 10.1186/gb-2013-14-6-123 |
Pubmed ID | |
Authors |
Gabriel Krouk, Jesse Lingeman, Amy Marshall Colon, Gloria Coruzzi, Dennis Shasha |
Abstract |
The goal of systems biology is to generate models for predicting how a system will react under untested conditions or in response to genetic perturbations. This paper discusses experimental and analytical approaches to deriving causal relationships in gene regulatory networks. |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 3% |
Germany | 3 | 2% |
France | 1 | <1% |
Chile | 1 | <1% |
New Zealand | 1 | <1% |
Australia | 1 | <1% |
Unknown | 139 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 41 | 27% |
Researcher | 35 | 23% |
Student > Master | 17 | 11% |
Professor | 10 | 7% |
Student > Bachelor | 8 | 5% |
Other | 27 | 18% |
Unknown | 13 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 85 | 56% |
Biochemistry, Genetics and Molecular Biology | 25 | 17% |
Computer Science | 8 | 5% |
Engineering | 5 | 3% |
Environmental Science | 4 | 3% |
Other | 6 | 4% |
Unknown | 18 | 12% |