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Probing Evolutionary Repeatability: Neutral and Double Changes and the Predictability of Evolutionary Adaptation

Overview of attention for article published in PLOS ONE, February 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

blogs
1 blog

Citations

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15 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
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Title
Probing Evolutionary Repeatability: Neutral and Double Changes and the Predictability of Evolutionary Adaptation
Published in
PLOS ONE, February 2009
DOI 10.1371/journal.pone.0004500
Pubmed ID
Authors

Scott William Roy

Abstract

The question of how organisms adapt is among the most fundamental in evolutionary biology. Two recent studies investigated the evolution of Escherichia coli in response to challenge with the antibiotic cefotaxime. Studying five mutations in the beta-lactamase gene that together confer significant antibiotic resistance, the authors showed a complex fitness landscape that greatly constrained the identity and order of intermediates leading from the initial wildtype genotype to the final resistant genotype. Out of 18 billion possible orders of single mutations leading from non-resistant to fully-resistant form, they found that only 27 (1.5x10(-7)%) pathways were characterized by consistently increasing resistance, thus only a tiny fraction of possible paths are accessible by positive selection. I further explore these data in several ways.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
Spain 2 4%
United Kingdom 1 2%
Austria 1 2%
Unknown 42 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 43%
Researcher 14 29%
Student > Master 5 10%
Professor 2 4%
Unspecified 1 2%
Other 2 4%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 69%
Biochemistry, Genetics and Molecular Biology 4 8%
Computer Science 2 4%
Unspecified 1 2%
Psychology 1 2%
Other 2 4%
Unknown 5 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 July 2013.
All research outputs
#5,471,000
of 22,714,025 outputs
Outputs from PLOS ONE
#66,521
of 193,925 outputs
Outputs of similar age
#25,755
of 94,279 outputs
Outputs of similar age from PLOS ONE
#233
of 513 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,925 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 65% 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 94,279 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 513 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 54% of its contemporaries.