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RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations

Overview of attention for article published in Genome Biology, September 2012
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users
patent
3 patents

Citations

dimensions_citation
84 Dimensions

Readers on

mendeley
162 Mendeley
citeulike
5 CiteULike
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Title
RELATCH: relative optimality in metabolic networks explains robust metabolic and regulatory responses to perturbations
Published in
Genome Biology, September 2012
DOI 10.1186/gb-2012-13-9-r78
Pubmed ID
Authors

Joonhoon Kim, Jennifer L Reed

Abstract

Predicting cellular responses to perturbations is an important task in systems biology. We report a new approach, RELATCH, which uses flux and gene expression data from a reference state to predict metabolic responses in a genetically or environmentally perturbed state. Using the concept of relative optimality, which considers relative flux changes from a reference state, we hypothesize a relative metabolic flux pattern is maintained from one state to another, and that cells adapt to perturbations using metabolic and regulatory reprogramming to preserve this relative flux pattern. This constraint-based approach will have broad utility where predictions of metabolic responses are needed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Denmark 2 1%
Portugal 1 <1%
Belgium 1 <1%
Sweden 1 <1%
Japan 1 <1%
Iran, Islamic Republic of 1 <1%
Unknown 152 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 35%
Researcher 28 17%
Student > Bachelor 16 10%
Student > Master 15 9%
Student > Doctoral Student 9 6%
Other 26 16%
Unknown 12 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 33%
Engineering 29 18%
Chemical Engineering 19 12%
Biochemistry, Genetics and Molecular Biology 14 9%
Computer Science 12 7%
Other 15 9%
Unknown 19 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 April 2021.
All research outputs
#6,495,301
of 25,371,288 outputs
Outputs from Genome Biology
#3,104
of 4,467 outputs
Outputs of similar age
#47,620
of 190,785 outputs
Outputs of similar age from Genome Biology
#36
of 55 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 30th percentile – i.e., 30% 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 190,785 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.