↓ Skip to main content

Photoexcited quantum dots for killing multidrug-resistant bacteria

Overview of attention for article published in Nature Materials, January 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 4,375)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
36 news outlets
blogs
9 blogs
twitter
39 X users
facebook
6 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
237 Dimensions

Readers on

mendeley
265 Mendeley
Title
Photoexcited quantum dots for killing multidrug-resistant bacteria
Published in
Nature Materials, January 2016
DOI 10.1038/nmat4542
Pubmed ID
Authors

Colleen M. Courtney, Samuel M. Goodman, Jessica A. McDaniel, Nancy E. Madinger, Anushree Chatterjee, Prashant Nagpal

Abstract

Multidrug-resistant bacterial infections are an ever-growing threat because of the shrinking arsenal of efficacious antibiotics. Metal nanoparticles can induce cell death, yet the toxicity effect is typically nonspecific. Here, we show that photoexcited quantum dots (QDs) can kill a wide range of multidrug-resistant bacterial clinical isolates, including methicillin-resistant Staphylococcus aureus, carbapenem-resistant Escherichia coli, and extended-spectrum β-lactamase-producing Klebsiella pneumoniae and Salmonella typhimurium. The killing effect is independent of material and controlled by the redox potentials of the photogenerated charge carriers, which selectively alter the cellular redox state. We also show that the QDs can be tailored to kill 92% of bacterial cells in a monoculture, and in a co-culture of E. coli and HEK 293T cells, while leaving the mammalian cells intact, or to increase bacterial proliferation. Photoexcited QDs could be used in the study of the effect of redox states on living systems, and lead to clinical phototherapy for the treatment of infections.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 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 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 2 <1%
Germany 1 <1%
Canada 1 <1%
Austria 1 <1%
Spain 1 <1%
Egypt 1 <1%
Unknown 253 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 31%
Researcher 35 13%
Student > Bachelor 30 11%
Student > Master 29 11%
Student > Doctoral Student 18 7%
Other 34 13%
Unknown 37 14%
Readers by discipline Count As %
Chemistry 41 15%
Agricultural and Biological Sciences 36 14%
Engineering 35 13%
Biochemistry, Genetics and Molecular Biology 22 8%
Materials Science 19 7%
Other 64 24%
Unknown 48 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 354. 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 04 March 2020.
All research outputs
#91,698
of 25,508,813 outputs
Outputs from Nature Materials
#33
of 4,375 outputs
Outputs of similar age
#1,510
of 402,577 outputs
Outputs of similar age from Nature Materials
#2
of 73 outputs
Altmetric has tracked 25,508,813 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 4,375 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.0. 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 402,577 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 73 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 98% of its contemporaries.