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Macrolide Resistance in Streptococcus pneumoniae

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, September 2016
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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1 policy source
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5 X users
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6 Wikipedia pages

Citations

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156 Dimensions

Readers on

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269 Mendeley
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Title
Macrolide Resistance in Streptococcus pneumoniae
Published in
Frontiers in Cellular and Infection Microbiology, September 2016
DOI 10.3389/fcimb.2016.00098
Pubmed ID
Authors

Max R. Schroeder, David S. Stephens

Abstract

Streptococcus pneumoniae is a common commensal and an opportunistic pathogen. Suspected pneumococcal upper respiratory infections and pneumonia are often treated with macrolide antibiotics. Macrolides are bacteriostatic antibiotics and inhibit protein synthesis by binding to the 50S ribosomal subunit. The widespread use of macrolides is associated with increased macrolide resistance in S. pneumoniae, and the treatment of pneumococcal infections with macrolides may be associated with clinical failures. In S. pneumoniae, macrolide resistance is due to ribosomal dimethylation by an enzyme encoded by erm(B), efflux by a two-component efflux pump encoded by mef (E)/mel(msr(D)) and, less commonly, mutations of the ribosomal target site of macrolides. A wide array of genetic elements have emerged that facilitate macrolide resistance in S. pneumoniae; for example erm(B) is found on Tn917, while the mef (E)/mel operon is carried on the 5.4- or 5.5-kb Mega element. The macrolide resistance determinants, erm(B) and mef (E)/mel, are also found on large composite Tn916-like elements most notably Tn6002, Tn2009, and Tn2010. Introductions of 7-valent and 13-valent pneumococcal conjugate vaccines (PCV-7 and PCV-13) have decreased the incidence of macrolide-resistant invasive pneumococcal disease, but serotype replacement and emergence of macrolide resistance remain an important concern.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 269 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 269 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 48 18%
Student > Master 37 14%
Student > Ph. D. Student 27 10%
Researcher 22 8%
Student > Doctoral Student 12 4%
Other 34 13%
Unknown 89 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 17%
Immunology and Microbiology 38 14%
Medicine and Dentistry 28 10%
Pharmacology, Toxicology and Pharmaceutical Science 19 7%
Agricultural and Biological Sciences 16 6%
Other 22 8%
Unknown 99 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 30 March 2024.
All research outputs
#3,860,233
of 25,822,778 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#820
of 8,283 outputs
Outputs of similar age
#61,434
of 329,744 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#6
of 62 outputs
Altmetric has tracked 25,822,778 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,283 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 90% 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 329,744 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 81% of its contemporaries.
We're also able to compare this research output to 62 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 90% of its contemporaries.