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Methicillin-resistant Staphylococcus aureus emerged long before the introduction of methicillin into clinical practice

Overview of attention for article published in Genome Biology (Online Edition), July 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 3,836)
  • High Attention Score compared to outputs of the same age (99th percentile)

Citations

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113 Dimensions

Readers on

mendeley
447 Mendeley
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3 CiteULike
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Title
Methicillin-resistant Staphylococcus aureus emerged long before the introduction of methicillin into clinical practice
Published in
Genome Biology (Online Edition), July 2017
DOI 10.1186/s13059-017-1252-9
Pubmed ID
Authors

Catriona P. Harkins, Bruno Pichon, Michel Doumith, Julian Parkhill, Henrik Westh, Alexander Tomasz, Herminia de Lencastre, Stephen D. Bentley, Angela M. Kearns, Matthew T. G. Holden

Abstract

The spread of drug-resistant bacterial pathogens poses a major threat to global health. It is widely recognised that the widespread use of antibiotics has generated selective pressures that have driven the emergence of resistant strains. Methicillin-resistant Staphylococcus aureus (MRSA) was first observed in 1960, less than one year after the introduction of this second generation beta-lactam antibiotic into clinical practice. Epidemiological evidence has always suggested that resistance arose around this period, when the mecA gene encoding methicillin resistance carried on an SCCmec element, was horizontally transferred to an intrinsically sensitive strain of S. aureus. Whole genome sequencing a collection of the first MRSA isolates allows us to reconstruct the evolutionary history of the archetypal MRSA. We apply Bayesian phylogenetic reconstruction to infer the time point at which this early MRSA lineage arose and when SCCmec was acquired. MRSA emerged in the mid-1940s, following the acquisition of an ancestral type I SCCmec element, some 14 years before the first therapeutic use of methicillin. Methicillin use was not the original driving factor in the evolution of MRSA as previously thought. Rather it was the widespread use of first generation beta-lactams such as penicillin in the years prior to the introduction of methicillin, which selected for S. aureus strains carrying the mecA determinant. Crucially this highlights how new drugs, introduced to circumvent known resistance mechanisms, can be rendered ineffective by unrecognised adaptations in the bacterial population due to the historic selective landscape created by the widespread use of other antibiotics.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 447 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 447 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 87 19%
Student > Master 65 15%
Student > Ph. D. Student 49 11%
Researcher 41 9%
Student > Doctoral Student 20 4%
Other 70 16%
Unknown 115 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 97 22%
Immunology and Microbiology 57 13%
Agricultural and Biological Sciences 56 13%
Medicine and Dentistry 32 7%
Chemistry 16 4%
Other 53 12%
Unknown 136 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 284. 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 September 2021.
All research outputs
#76,607
of 19,451,913 outputs
Outputs from Genome Biology (Online Edition)
#29
of 3,836 outputs
Outputs of similar age
#2,372
of 282,063 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 19,451,913 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,836 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has done particularly well, scoring higher than 99% 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 282,063 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 99% 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