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The cost of antibiotic resistance depends on evolutionary history in Escherichia coli

Overview of attention for article published in BMC Evolutionary Biology, January 2013
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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 (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
4 tweeters

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
86 Mendeley
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Title
The cost of antibiotic resistance depends on evolutionary history in Escherichia coli
Published in
BMC Evolutionary Biology, January 2013
DOI 10.1186/1471-2148-13-163
Pubmed ID
Authors

Daniel C Angst, Alex R Hall

Abstract

The persistence of antibiotic resistance depends on the fitness effects of resistance elements in the absence of antibiotics. Recent work shows that the fitness effect of a given resistance mutation is influenced by other resistance mutations on the same genome. However, resistant bacteria acquire additional beneficial mutations during evolution in the absence of antibiotics that do not alter resistance directly but may modify the fitness effects of new resistance mutations.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 2 2%
United States 2 2%
China 1 1%
United Kingdom 1 1%
Switzerland 1 1%
Sweden 1 1%
Unknown 78 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 26%
Student > Ph. D. Student 18 21%
Researcher 15 17%
Student > Bachelor 10 12%
Student > Doctoral Student 5 6%
Other 16 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 51%
Biochemistry, Genetics and Molecular Biology 12 14%
Medicine and Dentistry 7 8%
Immunology and Microbiology 5 6%
Environmental Science 4 5%
Other 14 16%

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 12 September 2013.
All research outputs
#1,217,450
of 12,373,386 outputs
Outputs from BMC Evolutionary Biology
#465
of 2,341 outputs
Outputs of similar age
#16,749
of 151,388 outputs
Outputs of similar age from BMC Evolutionary Biology
#9
of 18 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,341 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done well, scoring higher than 80% 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 151,388 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 88% of its contemporaries.
We're also able to compare this research output to 18 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 50% of its contemporaries.