↓ Skip to main content

Drug resistance in eukaryotic microorganisms

Overview of attention for article published in Nature Microbiology, June 2016
Altmetric Badge

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 (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

blogs
1 blog
twitter
38 X users
facebook
1 Facebook page

Citations

dimensions_citation
131 Dimensions

Readers on

mendeley
218 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Drug resistance in eukaryotic microorganisms
Published in
Nature Microbiology, June 2016
DOI 10.1038/nmicrobiol.2016.92
Pubmed ID
Authors

Alan H. Fairlamb, Neil A. R. Gow, Keith R. Matthews, Andrew P. Waters

Abstract

Eukaryotic microbial pathogens are major contributors to illness and death globally. Although much of their impact can be controlled by drug therapy as with prokaryotic microorganisms, the emergence of drug resistance has threatened these treatment efforts. Here, we discuss the challenges posed by eukaryotic microbial pathogens and how these are similar to, or differ from, the challenges of prokaryotic antibiotic resistance. The therapies used for several major eukaryotic microorganisms are then detailed, and the mechanisms that they have evolved to overcome these therapies are described. The rapid emergence of resistance and the restricted pipeline of new drug therapies pose considerable risks to global health and are particularly acute in the developing world. Nonetheless, we detail how the integration of new technology, biological understanding, epidemiology and evolutionary analysis can help sustain existing therapies, anticipate the emergence of resistance or optimize the deployment of new therapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Sweden 1 <1%
Unknown 215 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 15%
Student > Ph. D. Student 32 15%
Student > Master 28 13%
Student > Bachelor 27 12%
Student > Doctoral Student 15 7%
Other 34 16%
Unknown 49 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 57 26%
Agricultural and Biological Sciences 38 17%
Chemistry 18 8%
Pharmacology, Toxicology and Pharmaceutical Science 11 5%
Medicine and Dentistry 6 3%
Other 27 12%
Unknown 61 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 10 June 2018.
All research outputs
#1,414,838
of 25,388,177 outputs
Outputs from Nature Microbiology
#1,168
of 2,019 outputs
Outputs of similar age
#26,059
of 368,475 outputs
Outputs of similar age from Nature Microbiology
#32
of 70 outputs
Altmetric has tracked 25,388,177 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,019 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 96.1. This one is in the 42nd percentile – i.e., 42% 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 368,475 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 92% of its contemporaries.
We're also able to compare this research output to 70 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 55% of its contemporaries.