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In silico approaches to study mass and energy flows in microbial consortia: a syntrophic case study

Overview of attention for article published in BMC Systems Biology, December 2009
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1 X user

Citations

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Title
In silico approaches to study mass and energy flows in microbial consortia: a syntrophic case study
Published in
BMC Systems Biology, December 2009
DOI 10.1186/1752-0509-3-114
Pubmed ID
Authors

Reed Taffs, John E Aston, Kristen Brileya, Zackary Jay, Christian G Klatt, Shawn McGlynn, Natasha Mallette, Scott Montross, Robin Gerlach, William P Inskeep, David M Ward, Ross P Carlson

Abstract

Three methods were developed for the application of stoichiometry-based network analysis approaches including elementary mode analysis to the study of mass and energy flows in microbial communities. Each has distinct advantages and disadvantages suitable for analyzing systems with different degrees of complexity and a priori knowledge. These approaches were tested and compared using data from the thermophilic, phototrophic mat communities from Octopus and Mushroom Springs in Yellowstone National Park (USA). The models were based on three distinct microbial guilds: oxygenic phototrophs, filamentous anoxygenic phototrophs, and sulfate-reducing bacteria. Two phases, day and night, were modeled to account for differences in the sources of mass and energy and the routes available for their exchange.

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

Geographical breakdown

Country Count As %
United States 8 3%
Portugal 1 <1%
Germany 1 <1%
Chile 1 <1%
France 1 <1%
Austria 1 <1%
Netherlands 1 <1%
Iran, Islamic Republic of 1 <1%
Singapore 1 <1%
Other 2 <1%
Unknown 219 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 30%
Researcher 56 24%
Professor > Associate Professor 23 10%
Student > Master 21 9%
Student > Doctoral Student 14 6%
Other 24 10%
Unknown 29 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 86 36%
Biochemistry, Genetics and Molecular Biology 39 16%
Engineering 21 9%
Environmental Science 12 5%
Chemical Engineering 10 4%
Other 32 14%
Unknown 37 16%
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 12 November 2012.
All research outputs
#20,172,971
of 22,685,926 outputs
Outputs from BMC Systems Biology
#1,010
of 1,142 outputs
Outputs of similar age
#157,887
of 164,957 outputs
Outputs of similar age from BMC Systems Biology
#6
of 6 outputs
Altmetric has tracked 22,685,926 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.
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We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.