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Biophysical Model of Bacterial Cell Interactions with Nanopatterned Cicada Wing Surfaces

Overview of attention for article published in Biophysical Journal, February 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 10,391)
  • 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
8 news outlets
blogs
4 blogs
twitter
117 X users
patent
20 patents
facebook
4 Facebook pages
wikipedia
3 Wikipedia pages
googleplus
4 Google+ users
reddit
13 Redditors
video
2 YouTube creators

Citations

dimensions_citation
499 Dimensions

Readers on

mendeley
573 Mendeley
citeulike
3 CiteULike
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Title
Biophysical Model of Bacterial Cell Interactions with Nanopatterned Cicada Wing Surfaces
Published in
Biophysical Journal, February 2013
DOI 10.1016/j.bpj.2012.12.046
Pubmed ID
Authors

Sergey Pogodin, Jafar Hasan, Vladimir A. Baulin, Hayden K. Webb, Vi Khanh Truong, The Hong Phong Nguyen, Veselin Boshkovikj, Christopher J. Fluke, Gregory S. Watson, Jolanta A. Watson, Russell J. Crawford, Elena P. Ivanova

Abstract

The nanopattern on the surface of Clanger cicada (Psaltoda claripennis) wings represents the first example of a new class of biomaterials that can kill bacteria on contact based solely on their physical surface structure. The wings provide a model for the development of novel functional surfaces that possess an increased resistance to bacterial contamination and infection. We propose a biophysical model of the interactions between bacterial cells and cicada wing surface structures, and show that mechanical properties, in particular cell rigidity, are key factors in determining bacterial resistance/sensitivity to the bactericidal nature of the wing surface. We confirmed this experimentally by decreasing the rigidity of surface-resistant strains through microwave irradiation of the cells, which renders them susceptible to the wing effects. Our findings demonstrate the potential benefits of incorporating cicada wing nanopatterns into the design of antibacterial nanomaterials.

X Demographics

X Demographics

The data shown below were collected from the profiles of 117 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 573 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 <1%
Germany 2 <1%
United States 2 <1%
Canada 2 <1%
Norway 1 <1%
Austria 1 <1%
Chile 1 <1%
France 1 <1%
Sweden 1 <1%
Other 6 1%
Unknown 551 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 159 28%
Researcher 76 13%
Student > Master 75 13%
Student > Bachelor 61 11%
Professor > Associate Professor 26 5%
Other 66 12%
Unknown 110 19%
Readers by discipline Count As %
Engineering 97 17%
Materials Science 71 12%
Agricultural and Biological Sciences 65 11%
Chemistry 48 8%
Physics and Astronomy 44 8%
Other 108 19%
Unknown 140 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 196. 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 24 March 2024.
All research outputs
#206,128
of 25,784,004 outputs
Outputs from Biophysical Journal
#15
of 10,391 outputs
Outputs of similar age
#1,379
of 293,302 outputs
Outputs of similar age from Biophysical Journal
#1
of 86 outputs
Altmetric has tracked 25,784,004 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 10,391 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 293,302 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 86 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.