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Next-generation sequencing to monitor the spread of antimicrobial resistance

Overview of attention for article published in Genome Medicine, July 2017
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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37 X users

Citations

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18 Dimensions

Readers on

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74 Mendeley
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Title
Next-generation sequencing to monitor the spread of antimicrobial resistance
Published in
Genome Medicine, July 2017
DOI 10.1186/s13073-017-0461-x
Pubmed ID
Authors

Michael Otto

Abstract

Next-generation sequencing is increasingly being used to monitor current and historic events related to the emergence and spread of antimicrobial resistance. In a recent publication, researchers analyzed the rise of methicillin-resistant Staphylococcus aureus in the 1960s, emphasizing that adaptations conferring antibiotic resistance might pre-date the introduction of novel antibiotic derivatives. Other researchers have evaluated the role of transmission within a healthcare network, using the example of extended-spectrum beta-lactamase-resistant Escherichia coli.Please see related Genome Biology Research article: www.dx.doi.org/10.1186/s13059-017-1252-9 and Genome Medicine Research article: www.dx.doi.org/10.1186/s13073-017-0457-6.

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 22%
Student > Master 10 14%
Student > Ph. D. Student 9 12%
Other 7 9%
Student > Bachelor 6 8%
Other 11 15%
Unknown 15 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 34%
Agricultural and Biological Sciences 13 18%
Immunology and Microbiology 7 9%
Medicine and Dentistry 5 7%
Economics, Econometrics and Finance 2 3%
Other 5 7%
Unknown 17 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 20 December 2017.
All research outputs
#1,726,522
of 24,138,997 outputs
Outputs from Genome Medicine
#380
of 1,494 outputs
Outputs of similar age
#34,324
of 320,367 outputs
Outputs of similar age from Genome Medicine
#9
of 26 outputs
Altmetric has tracked 24,138,997 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,494 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 74% 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 320,367 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 89% of its contemporaries.
We're also able to compare this research output to 26 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 69% of its contemporaries.