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Model selection in systems and synthetic biology

Overview of attention for article published in Current Opinion in Biotechnology, April 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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13 X users

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mendeley
224 Mendeley
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2 CiteULike
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Article details
Title
Model selection in systems and synthetic biology
Published in
Current Opinion in Biotechnology, April 2013
DOI 10.1016/j.copbio.2013.03.012
Pubmed ID
Authors
Abstract

Developing mechanistic models has become an integral aspect of systems biology, as has the need to differentiate between alternative models. Parameterizing mathematical models has been widely perceived as a formidable challenge, which has spurred the development of statistical and optimisation routines for parameter inference. But now focus is increasingly shifting to problems that require us to choose from among a set of different models to determine which one offers the best description of a given biological system. We will here provide an overview of recent developments in the area of model selection. We will focus on approaches that are both practical as well as build on solid statistical principles and outline the conceptual foundations and the scope for application of such methods in systems biology.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 6 3%
United Kingdom 4 2%
Germany 3 1%
Netherlands 2 <1%
Japan 2 <1%
Chile 2 <1%
Malaysia 1 <1%
Latvia 1 <1%
Indonesia 1 <1%
Other 5 2%
Unknown 197 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 60 27%
Researcher 47 21%
Student > Master 22 10%
Professor 16 7%
Student > Doctoral Student 14 6%
Other 41 18%
Unknown 24 11%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 59 26%
Biochemistry, Genetics and Molecular Biology 50 22%
Engineering 21 9%
Computer Science 13 6%
Mathematics 11 5%
Other 37 17%
Unknown 33 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 08 November 2022.
All research outputs
#5,063,658
of 27,703,685 outputs
Outputs from Current Opinion in Biotechnology
#823
of 2,868 outputs
Outputs of similar age
#39,593
of 218,985 outputs
Outputs of similar age from Current Opinion in Biotechnology
#9
of 41 outputs
Altmetric has tracked 27,703,685 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,868 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 218,985 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.