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Variation in global codon usage bias among prokaryotic organisms is associated with their lifestyles

Overview of attention for article published in Genome Biology (Online Edition), January 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
12 tweeters

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
155 Mendeley
citeulike
2 CiteULike
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Title
Variation in global codon usage bias among prokaryotic organisms is associated with their lifestyles
Published in
Genome Biology (Online Edition), January 2011
DOI 10.1186/gb-2011-12-10-r109
Pubmed ID
Authors

Maya Botzman, Hanah Margalit

Abstract

It is widely acknowledged that synonymous codons are used unevenly among genes in a genome. In organisms under translational selection, genes encoding highly expressed proteins are enriched with specific codons. This phenomenon, termed codon usage bias, is common to many organisms and has been recognized as influencing cellular fitness. This suggests that the global extent of codon usage bias of an organism might be associated with its phenotypic traits.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 5%
Germany 4 3%
United Kingdom 2 1%
Sweden 2 1%
Thailand 1 <1%
Spain 1 <1%
India 1 <1%
Unknown 136 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 28%
Researcher 37 24%
Student > Master 21 14%
Student > Bachelor 9 6%
Student > Doctoral Student 7 5%
Other 26 17%
Unknown 11 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 61%
Biochemistry, Genetics and Molecular Biology 18 12%
Engineering 6 4%
Immunology and Microbiology 4 3%
Medicine and Dentistry 4 3%
Other 12 8%
Unknown 17 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 31 October 2011.
All research outputs
#531,893
of 6,230,771 outputs
Outputs from Genome Biology (Online Edition)
#801
of 2,077 outputs
Outputs of similar age
#6,372
of 74,065 outputs
Outputs of similar age from Genome Biology (Online Edition)
#24
of 54 outputs
Altmetric has tracked 6,230,771 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,077 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.7. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 74,065 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.