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Antimicrobial characterization of silver nanoparticle-coated surfaces by “touch test” method

Overview of attention for article published in Nanotechnology Science and Applications, November 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
5 tweeters

Citations

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18 Dimensions

Readers on

mendeley
55 Mendeley
Title
Antimicrobial characterization of silver nanoparticle-coated surfaces by “touch test” method
Published in
Nanotechnology Science and Applications, November 2017
DOI 10.2147/nsa.s139505
Pubmed ID
Authors

Marianne Gunell, Janne Haapanen, Kofi Brobbey, Jarkko Saarinen, Martti Toivakka, Jyrki M Mäkelä, Pentti Huovinen, Erkki Eerola, Kofi J. Brobbey, Jarkko J Saarinen, Jyrki Mäkelä

Abstract

Bacterial infections, especially by antimicrobial resistant (AMR) bacteria, are an increasing problem worldwide. AMR is especially a problem with health care-associated infections due to bacteria in hospital environments being easily transferred from patient to patient and from patient to environment, and thus, solutions to prevent bacterial transmission are needed. Hand washing is an effective tool for preventing bacterial infections, but other approaches such as nanoparticle-coated surfaces are also needed. In the current study, direct and indirect liquid flame spray (LFS) method was used to produce silver nanoparticle-coated surfaces. The antimicrobial properties of these nanoparticle surfaces were evaluated with the "touch test" method against Escherichia coli and Staphylococcus aureus. It was shown in this study that in glass samples one silver nanoparticle-coating cycle can inhibit E. coli growth, whereas at least two coating cycles were needed to inhibit S. aureus growth. Silver nanoparticle-coated polyethylene (PE) and PE terephthalate samples did not inhibit bacterial growth as effectively as glass samples: three nanoparticle-coating cycles were needed to inhibit E. coli growth, and more than 30 coating cycles were needed until S. aureus growth was inhibited. To conclude, with the LFS method, it is possible to produce nanostructured large-area antibacterial surfaces which show antibacterial effect against clinically relevant pathogens. Results indicate that the use of silver nanoparticle surfaces in hospital environments could prevent health care-associated infections in vivo.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Student > Master 11 20%
Researcher 10 18%
Student > Bachelor 6 11%
Professor 2 4%
Other 4 7%
Unknown 9 16%
Readers by discipline Count As %
Materials Science 12 22%
Chemistry 11 20%
Engineering 6 11%
Agricultural and Biological Sciences 4 7%
Immunology and Microbiology 4 7%
Other 6 11%
Unknown 12 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 February 2018.
All research outputs
#6,399,389
of 12,519,038 outputs
Outputs from Nanotechnology Science and Applications
#23
of 40 outputs
Outputs of similar age
#115,677
of 308,711 outputs
Outputs of similar age from Nanotechnology Science and Applications
#1
of 3 outputs
Altmetric has tracked 12,519,038 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 40 research outputs from this source. They receive a mean Attention Score of 4.8. This one scored the same or higher as 17 of them.
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 308,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 3 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