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Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli

Overview of attention for article published in G3: Genes, Genomes, Genetics, August 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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
2 blogs
twitter
2 X users
patent
1 patent
wikipedia
3 Wikipedia pages

Citations

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184 Dimensions

Readers on

mendeley
261 Mendeley
citeulike
1 CiteULike
Title
Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli
Published in
G3: Genes, Genomes, Genetics, August 2011
DOI 10.1534/g3.111.000406
Pubmed ID
Authors

Sébastien Wielgoss, Jeffrey E Barrick, Olivier Tenaillon, Stéphane Cruveiller, Béatrice Chane-Woon-Ming, Claudine Médigue, Richard E Lenski, Dominique Schneider

Abstract

The quantification of spontaneous mutation rates is crucial for a mechanistic understanding of the evolutionary process. In bacteria, traditional estimates using experimental or comparative genetic methods are prone to statistical uncertainty and consequently estimates vary by over one order of magnitude. With the advent of next-generation sequencing, more accurate estimates are now possible. We sequenced 19 Escherichia coli genomes from a 40,000-generation evolution experiment and directly inferred the point-mutation rate based on the accumulation of synonymous substitutions. The resulting estimate was 8.9 × 10(-11) per base-pair per generation, and there was a significant bias toward increased AT-content. We also compared our results with published genome sequence datasets for other bacterial evolution experiments. Given the power of our approach, our estimate represents the most accurate measure of bacterial base-substitution rates available to date.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 1%
United States 3 1%
United Kingdom 2 <1%
Belgium 2 <1%
Brazil 1 <1%
Austria 1 <1%
Estonia 1 <1%
Germany 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 245 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 32%
Researcher 58 22%
Student > Master 26 10%
Student > Bachelor 15 6%
Student > Doctoral Student 12 5%
Other 41 16%
Unknown 25 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 150 57%
Biochemistry, Genetics and Molecular Biology 43 16%
Immunology and Microbiology 9 3%
Environmental Science 5 2%
Physics and Astronomy 5 2%
Other 16 6%
Unknown 33 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 11 April 2023.
All research outputs
#1,414,043
of 23,556,846 outputs
Outputs from G3: Genes, Genomes, Genetics
#150
of 3,232 outputs
Outputs of similar age
#6,235
of 121,206 outputs
Outputs of similar age from G3: Genes, Genomes, Genetics
#2
of 6 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,232 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 95% 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 121,206 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 94% of its contemporaries.
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. This one has scored higher than 4 of them.