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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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2 X users

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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
Authors

Edwin H Wintermute, Tami D Lieberman, Pamela A Silver

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Colombia 1 <1%
Germany 1 <1%
Singapore 1 <1%
India 1 <1%
Russia 1 <1%
Iran, Islamic Republic of 1 <1%
Unknown 117 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 26%
Researcher 27 22%
Student > Master 20 16%
Student > Bachelor 10 8%
Other 7 6%
Other 17 14%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 30%
Biochemistry, Genetics and Molecular Biology 22 18%
Engineering 15 12%
Computer Science 11 9%
Chemical Engineering 4 3%
Other 19 15%
Unknown 16 13%
Attention Score in Context

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
#17,285,668
of 25,373,627 outputs
Outputs from BMC Systems Biology
#651
of 1,132 outputs
Outputs of similar age
#138,219
of 220,243 outputs
Outputs of similar age from BMC Systems Biology
#19
of 36 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 31st percentile – i.e., 31% 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 220,243 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.