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An objective function exploiting suboptimal solutions in metabolic networks

Overview of attention for article published in BMC Systems Biology, October 2013
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
113 Mendeley
citeulike
1 CiteULike
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Title
An objective function exploiting suboptimal solutions in metabolic networks
Published in
BMC Systems Biology, October 2013
DOI 10.1186/1752-0509-7-98
Pubmed ID
Abstract

Flux Balance Analysis is a theoretically elegant, computationally efficient, genome-scale approach to predicting biochemical reaction fluxes. Yet FBA models exhibit persistent mathematical degeneracy that generally limits their predictive power.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Singapore 1 <1%
India 1 <1%
Germany 1 <1%
Iran, Islamic Republic of 1 <1%
Russia 1 <1%
Colombia 1 <1%
Unknown 105 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 28%
Researcher 27 24%
Student > Master 18 16%
Student > Bachelor 8 7%
Other 7 6%
Other 15 13%
Unknown 6 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 34%
Biochemistry, Genetics and Molecular Biology 20 18%
Engineering 14 12%
Computer Science 11 10%
Physics and Astronomy 3 3%
Other 16 14%
Unknown 11 10%

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 30 October 2013.
All research outputs
#2,351,910
of 4,505,482 outputs
Outputs from BMC Systems Biology
#305
of 670 outputs
Outputs of similar age
#51,517
of 100,566 outputs
Outputs of similar age from BMC Systems Biology
#13
of 24 outputs
Altmetric has tracked 4,505,482 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 670 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 45th percentile – i.e., 45% 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 100,566 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.