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Exploration of the core metabolism of symbiotic bacteria

Overview of attention for article published in BMC Genomics, August 2012
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3 X users

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70 Mendeley
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2 CiteULike
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Title
Exploration of the core metabolism of symbiotic bacteria
Published in
BMC Genomics, August 2012
DOI 10.1186/1471-2164-13-438
Pubmed ID
Authors

Cecilia Coimbra Klein, Ludovic Cottret, Janice Kielbassa, Hubert Charles, Christian Gautier, Ana Tereza Ribeiro de Vasconcelos, Vincent Lacroix, Marie-France Sagot

Abstract

A large number of genome-scale metabolic networks is now available for many organisms, mostly bacteria. Previous works on minimal gene sets, when analysing host-dependent bacteria, found small common sets of metabolic genes. When such analyses are restricted to bacteria with similar lifestyles, larger portions of metabolism are expected to be shared and their composition is worth investigating. Here we report a comparative analysis of the small molecule metabolism of symbiotic bacteria, exploring common and variable portions as well as the contribution of different lifestyle groups to the reduction of a common set of metabolic capabilities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Brazil 1 1%
Sweden 1 1%
Panama 1 1%
United Kingdom 1 1%
Czechia 1 1%
Spain 1 1%
Iran, Islamic Republic of 1 1%
Unknown 60 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 26%
Researcher 16 23%
Student > Master 10 14%
Other 5 7%
Student > Bachelor 4 6%
Other 13 19%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 56%
Biochemistry, Genetics and Molecular Biology 8 11%
Computer Science 5 7%
Environmental Science 2 3%
Engineering 2 3%
Other 5 7%
Unknown 9 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 November 2012.
All research outputs
#15,169,949
of 25,374,917 outputs
Outputs from BMC Genomics
#5,391
of 11,244 outputs
Outputs of similar age
#110,492
of 187,866 outputs
Outputs of similar age from BMC Genomics
#90
of 170 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% 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 187,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.