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Studying antibiotic–membrane interactions via X‐ray diffraction and fluorescence microscopy

Overview of attention for article published in FEBS Open Bio, June 2015
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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16 Mendeley
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Article details
Title
Studying antibiotic–membrane interactions via X‐ray diffraction and fluorescence microscopy
Published in
FEBS Open Bio, June 2015
DOI 10.1016/j.fob.2015.06.006
Pubmed ID
Authors
Abstract

Antibiotic drug resistance is a serious issue for the treatment of bacterial infection. Understanding the resistance to antibiotics is a key issue for developing new drugs. We used penicillin and sulbactam as model antibiotics to study their interaction with model membranes. Cholesterol was used to target the membrane for comparison with the well-known insertion model. Lamellar X-ray diffraction (LXD) was used to determine membrane thickness using successive drug-to-lipid molar ratios. The aspiration method for a single giant unilamellar vesicle (GUV) was used to monitor the kinetic binding process of antibiotic-membrane interactions in an aqueous solution. Both penicillin and sulbactam are found positioned outside the model membrane, while cholesterol inserts perpendicularly into the hydrophobic region of the membrane in aqueous solution. This result provides structural insights for understanding the antibiotic-membrane interaction and the mechanism of antibiotics.

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X Demographics

X Demographics

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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Student > Postgraduate 1 6%
Student > Doctoral Student 1 6%
Unknown 10 63%
Readers by discipline
Readers by discipline Count As %
Chemistry 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Agricultural and Biological Sciences 1 6%
Physics and Astronomy 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 10 63%
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 22 July 2015.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from FEBS Open Bio
#936
of 1,710 outputs
Outputs of similar age
#189,917
of 278,272 outputs
Outputs of similar age from FEBS Open Bio
#8
of 27 outputs
Altmetric has tracked 25,373,627 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 1,710 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 36th percentile – i.e., 36% 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 278,272 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 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.