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Alternative Evolutionary Paths to Bacterial Antibiotic Resistance Cause Distinct Collateral Effects

Overview of attention for article published in Molecular Biology and Evolution, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
22 X users

Citations

dimensions_citation
137 Dimensions

Readers on

mendeley
218 Mendeley
citeulike
3 CiteULike
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Title
Alternative Evolutionary Paths to Bacterial Antibiotic Resistance Cause Distinct Collateral Effects
Published in
Molecular Biology and Evolution, May 2017
DOI 10.1093/molbev/msx158
Pubmed ID
Authors

Camilo Barbosa, Vincent Trebosc, Christian Kemmer, Philip Rosenstiel, Robert Beardmore, Hinrich Schulenburg, Gunther Jansen

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 217 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 17%
Student > Master 33 15%
Researcher 31 14%
Student > Bachelor 25 11%
Student > Postgraduate 10 5%
Other 29 13%
Unknown 53 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 46 21%
Agricultural and Biological Sciences 42 19%
Immunology and Microbiology 20 9%
Pharmacology, Toxicology and Pharmaceutical Science 12 6%
Medicine and Dentistry 11 5%
Other 31 14%
Unknown 56 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 70. 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 09 July 2017.
All research outputs
#624,901
of 26,017,215 outputs
Outputs from Molecular Biology and Evolution
#229
of 5,332 outputs
Outputs of similar age
#12,662
of 330,621 outputs
Outputs of similar age from Molecular Biology and Evolution
#5
of 70 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.9. 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 330,621 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 96% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.