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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

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 225)
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
128 Dimensions

Readers on

mendeley
222 Mendeley
citeulike
8 CiteULike
connotea
2 Connotea
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 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 8 4%
United States 6 3%
Portugal 2 <1%
Netherlands 2 <1%
Chile 2 <1%
Sweden 2 <1%
Switzerland 2 <1%
Australia 1 <1%
Hong Kong 1 <1%
Other 10 5%
Unknown 186 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 33%
Researcher 48 22%
Student > Master 25 11%
Student > Bachelor 13 6%
Professor 11 5%
Other 37 17%
Unknown 15 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 101 45%
Engineering 29 13%
Biochemistry, Genetics and Molecular Biology 26 12%
Computer Science 19 9%
Chemical Engineering 13 6%
Other 16 7%
Unknown 18 8%

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
#2,888,238
of 12,439,665 outputs
Outputs from Theoretical Biology and Medical Modelling
#44
of 225 outputs
Outputs of similar age
#24,477
of 117,520 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#4
of 8 outputs
Altmetric has tracked 12,439,665 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 80% 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 117,520 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 79% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.