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Decrease of energy spilling in Escherichia coli continuous cultures with rising specific growth rate and carbon wasting

Overview of attention for article published in BMC Systems Biology, July 2011
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Title
Decrease of energy spilling in Escherichia coli continuous cultures with rising specific growth rate and carbon wasting
Published in
BMC Systems Biology, July 2011
DOI 10.1186/1752-0509-5-106
Pubmed ID
Authors

Kaspar Valgepea, Kaarel Adamberg, Raivo Vilu

Abstract

Growth substrates, aerobic/anaerobic conditions, specific growth rate (μ) etc. strongly influence Escherichia coli cell physiology in terms of cell size, biomass composition, gene and protein expression. To understand the regulation behind these different phenotype properties, it is useful to know carbon flux patterns in the metabolic network which are generally calculated by metabolic flux analysis (MFA). However, rarely is biomass composition determined and carbon balance carefully measured in the same experiments which could possibly lead to distorted MFA results and questionable conclusions. Therefore, we carried out both detailed carbon balance and biomass composition analysis in the same experiments for more accurate quantitative analysis of metabolism and MFA.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Estonia 3 3%
United States 2 2%
Australia 2 2%
Sweden 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Mexico 1 <1%
France 1 <1%
Denmark 1 <1%
Other 1 <1%
Unknown 106 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 29%
Researcher 28 23%
Student > Master 13 11%
Student > Bachelor 12 10%
Professor > Associate Professor 7 6%
Other 17 14%
Unknown 8 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 40%
Biochemistry, Genetics and Molecular Biology 26 22%
Engineering 11 9%
Chemical Engineering 6 5%
Environmental Science 5 4%
Other 12 10%
Unknown 12 10%
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 23 January 2012.
All research outputs
#20,153,989
of 22,661,413 outputs
Outputs from BMC Systems Biology
#1,010
of 1,142 outputs
Outputs of similar age
#107,399
of 116,162 outputs
Outputs of similar age from BMC Systems Biology
#32
of 34 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% 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 116,162 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.