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Metabolic network reconstruction and genome-scale model of butanol-producing strain Clostridium beijerinckii NCIMB 8052

Overview of attention for article published in BMC Systems Biology, August 2011
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1 X user

Citations

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Title
Metabolic network reconstruction and genome-scale model of butanol-producing strain Clostridium beijerinckii NCIMB 8052
Published in
BMC Systems Biology, August 2011
DOI 10.1186/1752-0509-5-130
Pubmed ID
Authors

Caroline B Milne, James A Eddy, Ravali Raju, Soroush Ardekani, Pan-Jun Kim, Ryan S Senger, Yong-Su Jin, Hans P Blaschek, Nathan D Price

Abstract

Solventogenic clostridia offer a sustainable alternative to petroleum-based production of butanol--an important chemical feedstock and potential fuel additive or replacement. C. beijerinckii is an attractive microorganism for strain design to improve butanol production because it (i) naturally produces the highest recorded butanol concentrations as a byproduct of fermentation; and (ii) can co-ferment pentose and hexose sugars (the primary products from lignocellulosic hydrolysis). Interrogating C. beijerinckii metabolism from a systems viewpoint using constraint-based modeling allows for simulation of the global effect of genetic modifications.

X Demographics

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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 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Iran, Islamic Republic of 2 <1%
Portugal 1 <1%
Netherlands 1 <1%
France 1 <1%
Australia 1 <1%
Colombia 1 <1%
Singapore 1 <1%
Germany 1 <1%
Other 2 <1%
Unknown 205 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 27%
Researcher 54 24%
Student > Master 26 12%
Student > Bachelor 14 6%
Professor > Associate Professor 11 5%
Other 32 14%
Unknown 25 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 41%
Biochemistry, Genetics and Molecular Biology 33 15%
Engineering 17 8%
Computer Science 11 5%
Environmental Science 8 4%
Other 21 9%
Unknown 41 18%
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 03 November 2011.
All research outputs
#15,866,607
of 23,577,654 outputs
Outputs from BMC Systems Biology
#644
of 1,139 outputs
Outputs of similar age
#76,048
of 107,962 outputs
Outputs of similar age from BMC Systems Biology
#18
of 37 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,139 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 107,962 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.