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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 (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users
patent
1 patent
facebook
5 Facebook pages
wikipedia
2 Wikipedia pages
reddit
1 Redditor

Readers on

mendeley
214 Mendeley
citeulike
3 CiteULike
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Article details
Title
Metabolic Erosion Primarily Through Mutation Accumulation, and Not Tradeoffs, Drives Limited Evolution of Substrate Specificity in Escherichia coli
Published in
PLoS Biology, February 2014
DOI 10.1371/journal.pbio.1001789
Pubmed ID
Authors
Abstract

Evolutionary adaptation to a constant environment is often accompanied by specialization and a reduction of fitness in other environments. We assayed the ability of the Lenski Escherichia coli populations to grow on a range of carbon sources after 50,000 generations of adaptation on glucose. Using direct measurements of growth rates, we demonstrated that declines in performance were much less widespread than suggested by previous results from Biolog assays of cellular respiration. Surprisingly, there were many performance increases on a variety of substrates. In addition to the now famous example of citrate, we observed several other novel gains of function for organic acids that the ancestral strain only marginally utilized. Quantitative growth data also showed that strains with a higher mutation rate exhibited significantly more declines, suggesting that most metabolic erosion was driven by mutation accumulation and not by physiological tradeoffs. These reductions in growth by mutator strains were ameliorated by growth at lower temperature, consistent with the hypothesis that this metabolic erosion is largely caused by destabilizing mutations to the associated enzymes. We further hypothesized that reductions in growth rate would be greatest for substrates used most differently from glucose, and we used flux balance analysis to formulate this question quantitatively. To our surprise, we found no significant relationship between decreases in growth and dissimilarity to glucose metabolism. Taken as a whole, these data suggest that in a single resource environment, specialization does not mainly result as an inevitable consequence of adaptive tradeoffs, but rather due to the gradual accumulation of disabling mutations in unused portions of the genome.

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 2%
Sweden 2 <1%
Belgium 2 <1%
United Kingdom 1 <1%
Finland 1 <1%
Denmark 1 <1%
Switzerland 1 <1%
Canada 1 <1%
Brazil 1 <1%
Other 0 0%
Unknown 200 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 68 32%
Researcher 44 21%
Student > Master 21 10%
Student > Bachelor 13 6%
Other 12 6%
Other 36 17%
Unknown 20 9%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 118 55%
Biochemistry, Genetics and Molecular Biology 38 18%
Immunology and Microbiology 6 3%
Environmental Science 5 2%
Engineering 4 2%
Other 20 9%
Unknown 23 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 18 March 2019.
All research outputs
#4,103,116
of 33,949,960 outputs
Outputs from PLoS Biology
#4,191
of 7,693 outputs
Outputs of similar age
#34,624
of 267,519 outputs
Outputs of similar age from PLoS Biology
#52
of 86 outputs
Altmetric has tracked 33,949,960 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,693 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.1. This one is in the 45th percentile – i.e., 45% 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 267,519 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.