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Metabolic Networks of Sodalis glossinidius: A Systems Biology Approach to Reductive Evolution

Overview of attention for article published in PLoS ONE, January 2012
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2 tweeters

Citations

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19 Dimensions

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70 Mendeley

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Title
Metabolic Networks of Sodalis glossinidius: A Systems Biology Approach to Reductive Evolution
Published in
PLoS ONE, January 2012
DOI 10.1371/journal.pone.0030652
Pubmed ID
22292008
Authors

Eugeni Belda, Francisco J. Silva, Juli Peretó, Andrés Moya

Abstract

Genome reduction is a common evolutionary process affecting bacterial lineages that establish symbiotic or pathogenic associations with eukaryotic hosts. Such associations yield highly reduced genomes with greatly streamlined metabolic abilities shaped by the type of ecological association with the host. Sodalis glossinidius, the secondary endosymbiont of tsetse flies, represents one of the few complete genomes available of a bacterium at the initial stages of this process. In the present study, genome reduction is studied from a systems biology perspective through the reconstruction and functional analysis of genome-scale metabolic networks of S. glossinidius.

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

Geographical breakdown

Country Count As %
Spain 2 3%
Netherlands 1 1%
Unknown 67 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 27%
Researcher 13 19%
Student > Bachelor 11 16%
Student > Master 7 10%
Other 4 6%
Other 13 19%
Unknown 3 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 53%
Biochemistry, Genetics and Molecular Biology 13 19%
Engineering 3 4%
Computer Science 3 4%
Environmental Science 3 4%
Other 7 10%
Unknown 4 6%

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 22 August 2019.
All research outputs
#10,563,966
of 13,887,828 outputs
Outputs from PLoS ONE
#101,184
of 146,458 outputs
Outputs of similar age
#141,854
of 210,370 outputs
Outputs of similar age from PLoS ONE
#2,664
of 4,009 outputs
Altmetric has tracked 13,887,828 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 146,458 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 25th percentile – i.e., 25% 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 210,370 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 4,009 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.

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