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Prevalence of Clinically Relevant Antibiotic Resistance Genes in Surface Water Samples Collected from Germany and Australia

Overview of attention for article published in Environmental Science & Technology, August 2012
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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 (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

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1 policy source
twitter
1 tweeter

Citations

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70 Dimensions

Readers on

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98 Mendeley
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Title
Prevalence of Clinically Relevant Antibiotic Resistance Genes in Surface Water Samples Collected from Germany and Australia
Published in
Environmental Science & Technology, August 2012
DOI 10.1021/es302020s
Pubmed ID
Authors

C. Stoll, J. P. S. Sidhu, A. Tiehm, S. Toze

Abstract

The prevalence and proliferation of antibiotic resistant bacteria is profoundly important to human health, but the extent to which aquatic environments contribute toward the dissemination of antibiotic resistant genes (ARGs) is poorly understood. The prevalence of 24 ARGs active against eight antibiotic classes (β-lactams, aminoglycosides, glycopeptides, chloramphenicols, tetracycline, macrolides, trimethoprim, and sulfonamides) was evaluated in surface water samples collected from Germany and Australia with culture independent methods. The ARGs most frequently detected both in Germany and Australia were sulI, sulII (77-100%), and dfrA1 (43-55%) which code for resistance to sulfonamide and trimethoprim. Macrolides resistance gene ermB was relatively more prevalent in the surface water from Germany (68%) than Australia (18%). In contrast, the chloramphenicol resistance gene catII was more frequently detected in Australia (64%) than Germany (9%). Similarly, β-lactams resistance gene ampC was more prevalent in the samples from Australia (36%) than Germany (19%). This study highlights wide distribution of ARGs for sulfonamide, trimethoprim, macroline, β-lactams and chloramphenicol in the aquatic ecosystems. Aquatic ecosystems can therefore be reservoirs of ARGs genes which could potentially be transferred from commensal microorganisms to human pathogens.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Estonia 2 2%
Portugal 1 1%
Germany 1 1%
Poland 1 1%
Spain 1 1%
Uruguay 1 1%
Unknown 89 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 38%
Student > Master 13 13%
Researcher 13 13%
Unspecified 6 6%
Professor > Associate Professor 5 5%
Other 24 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 31%
Environmental Science 17 17%
Unspecified 16 16%
Engineering 10 10%
Veterinary Science and Veterinary Medicine 5 5%
Other 20 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 January 2016.
All research outputs
#1,747,961
of 8,084,883 outputs
Outputs from Environmental Science & Technology
#2,669
of 9,128 outputs
Outputs of similar age
#19,276
of 89,771 outputs
Outputs of similar age from Environmental Science & Technology
#58
of 224 outputs
Altmetric has tracked 8,084,883 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,128 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 70% 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 89,771 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 77% of its contemporaries.
We're also able to compare this research output to 224 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 73% of its contemporaries.