↓ Skip to main content

Likelihood based observability analysis and confidence intervals for predictions of dynamic models

Overview of attention for article published in BMC Systems Biology, September 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
115 Dimensions

Readers on

mendeley
179 Mendeley
citeulike
1 CiteULike
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.
Title
Likelihood based observability analysis and confidence intervals for predictions of dynamic models
Published in
BMC Systems Biology, September 2012
DOI 10.1186/1752-0509-6-120
Pubmed ID
Authors

Clemens Kreutz, Andreas Raue, Jens Timmer

Abstract

Predicting a system's behavior based on a mathematical model is a primary task in Systems Biology. If the model parameters are estimated from experimental data, the parameter uncertainty has to be translated into confidence intervals for model predictions. For dynamic models of biochemical networks, the nonlinearity in combination with the large number of parameters hampers the calculation of prediction confidence intervals and renders classical approaches as hardly feasible.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
United States 2 1%
Switzerland 1 <1%
Netherlands 1 <1%
France 1 <1%
Chile 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 168 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 30%
Researcher 32 18%
Student > Master 22 12%
Student > Bachelor 16 9%
Student > Doctoral Student 9 5%
Other 21 12%
Unknown 26 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 27%
Engineering 26 15%
Biochemistry, Genetics and Molecular Biology 15 8%
Mathematics 14 8%
Chemistry 8 4%
Other 33 18%
Unknown 35 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 September 2012.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from BMC Systems Biology
#827
of 1,132 outputs
Outputs of similar age
#146,469
of 186,989 outputs
Outputs of similar age from BMC Systems Biology
#25
of 29 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 186,989 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.