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A depth-first search algorithm to compute elementary flux modes by linear programming

Overview of attention for article published in BMC Systems Biology, July 2014
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
2 CiteULike
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Title
A depth-first search algorithm to compute elementary flux modes by linear programming
Published in
BMC Systems Biology, July 2014
DOI 10.1186/s12918-014-0094-2
Pubmed ID
Authors

Lake-Ee Quek, Lars K Nielsen

Abstract

The decomposition of complex metabolic networks into elementary flux modes (EFMs) provides a useful framework for exploring reaction interactions systematically. Generating a complete set of EFMs for large-scale models, however, is near impossible. Even for moderately-sized models (<400 reactions), existing approaches based on the Double Description method must iterate through a large number of combinatorial candidates, thus imposing an immense processor and memory demand.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 2%
Latvia 1 2%
Portugal 1 2%
Singapore 1 2%
Unknown 45 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Student > Ph. D. Student 14 29%
Student > Master 8 16%
Professor > Associate Professor 4 8%
Professor 3 6%
Other 2 4%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 29%
Computer Science 13 27%
Biochemistry, Genetics and Molecular Biology 7 14%
Engineering 4 8%
Mathematics 2 4%
Other 3 6%
Unknown 6 12%

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 28 February 2015.
All research outputs
#11,890,891
of 18,245,787 outputs
Outputs from BMC Systems Biology
#624
of 1,117 outputs
Outputs of similar age
#110,601
of 201,074 outputs
Outputs of similar age from BMC Systems Biology
#4
of 10 outputs
Altmetric has tracked 18,245,787 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,117 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 33rd percentile – i.e., 33% 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 201,074 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.