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Bringing metabolic networks to life: convenience rate law and thermodynamic constraints

Overview of attention for article published in Theoretical Biology and Medical Modelling, December 2006
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
170 Dimensions

Readers on

mendeley
276 Mendeley
citeulike
8 CiteULike
connotea
2 Connotea
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Title
Bringing metabolic networks to life: convenience rate law and thermodynamic constraints
Published in
Theoretical Biology and Medical Modelling, December 2006
DOI 10.1186/1742-4682-3-41
Pubmed ID
Authors

Wolfram Liebermeister, Edda Klipp

Abstract

Translating a known metabolic network into a dynamic model requires rate laws for all chemical reactions. The mathematical expressions depend on the underlying enzymatic mechanism; they can become quite involved and may contain a large number of parameters. Rate laws and enzyme parameters are still unknown for most enzymes.

Mendeley readers

The data shown below were compiled from readership statistics for 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 8 3%
United States 6 2%
Switzerland 2 <1%
Netherlands 2 <1%
Portugal 2 <1%
France 1 <1%
Norway 1 <1%
Latvia 1 <1%
Hong Kong 1 <1%
Other 10 4%
Unknown 242 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 86 31%
Researcher 57 21%
Student > Master 30 11%
Student > Bachelor 17 6%
Student > Doctoral Student 13 5%
Other 47 17%
Unknown 26 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 105 38%
Biochemistry, Genetics and Molecular Biology 43 16%
Engineering 33 12%
Chemical Engineering 21 8%
Computer Science 19 7%
Other 27 10%
Unknown 28 10%

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 13 April 2012.
All research outputs
#4,459,681
of 17,349,416 outputs
Outputs from Theoretical Biology and Medical Modelling
#62
of 272 outputs
Outputs of similar age
#31,274
of 131,520 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 1 outputs
Altmetric has tracked 17,349,416 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 272 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 77% 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 131,520 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 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them