↓ Skip to main content

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

Overview of attention for article published in BMC Evolutionary Biology, January 2013
Altmetric Badge

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 (87th percentile)

Mentioned by

news
1 news outlet
twitter
3 tweeters

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
94 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 3 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Belgium 2 2%
United Kingdom 1 1%
Sweden 1 1%
China 1 1%
Switzerland 1 1%
Unknown 86 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 27%
Student > Ph. D. Student 19 20%
Researcher 15 16%
Student > Bachelor 11 12%
Student > Doctoral Student 5 5%
Other 14 15%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 48%
Biochemistry, Genetics and Molecular Biology 15 16%
Medicine and Dentistry 7 7%
Immunology and Microbiology 5 5%
Environmental Science 4 4%
Other 11 12%
Unknown 7 7%

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
#1,624,506
of 14,537,063 outputs
Outputs from BMC Evolutionary Biology
#555
of 2,631 outputs
Outputs of similar age
#18,981
of 157,836 outputs
Outputs of similar age from BMC Evolutionary Biology
#1
of 1 outputs
Altmetric has tracked 14,537,063 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,631 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 78% 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 157,836 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 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them