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Letter to the editor in response to estimating the burden of antimicrobial resistance: a systematic literature review

Overview of attention for article published in Antimicrobial Resistance & Infection Control, July 2018
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Title
Letter to the editor in response to estimating the burden of antimicrobial resistance: a systematic literature review
Published in
Antimicrobial Resistance & Infection Control, July 2018
DOI 10.1186/s13756-018-0379-0
Pubmed ID
Authors

Teresa M. Wozniak

Abstract

The systematic review published by Naylor et al. in April 2018 highlights methodological assumptions and biases that occur in studies investigating the burden of antimicrobial resistance (AMR). They note that, due to both the large diversity of statistical approaches and perspectives chosen, the current evidence base of the burden of AMR is highly variable. Certainly, these conclusions are valid and the authors present a very thorough analysis of the currently published literature with a broad array of drug-bug combinations. But readers are left with limited direction of estimating the current best available estimate of the health and economic burden of AMR. Such estimates are desperately needed to inform clinical management and for priority setting activities and initiative to curbing the global threat of AMR.

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The data shown below were collected from the profiles of 2 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 25%
Other 3 15%
Student > Doctoral Student 1 5%
Professor > Associate Professor 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 9 45%
Readers by discipline Count As %
Medicine and Dentistry 3 15%
Nursing and Health Professions 2 10%
Economics, Econometrics and Finance 2 10%
Social Sciences 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 1 5%
Unknown 9 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 August 2018.
All research outputs
#18,827,930
of 24,003,070 outputs
Outputs from Antimicrobial Resistance & Infection Control
#1,142
of 1,347 outputs
Outputs of similar age
#241,172
of 333,096 outputs
Outputs of similar age from Antimicrobial Resistance & Infection Control
#34
of 36 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 333,096 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.