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PNAS

Sensing fluctuating airflow with spider silk

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, October 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
18 news outlets
blogs
4 blogs
twitter
16 X users
patent
2 patents
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3 Facebook pages

Citations

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46 Dimensions

Readers on

mendeley
67 Mendeley
Title
Sensing fluctuating airflow with spider silk
Published in
Proceedings of the National Academy of Sciences of the United States of America, October 2017
DOI 10.1073/pnas.1710559114
Pubmed ID
Authors

Jian Zhou, Ronald N. Miles

Abstract

The ultimate aim of flow sensing is to represent the perturbations of the medium perfectly. Hundreds of millions of years of evolution resulted in hair-based flow sensors in terrestrial arthropods that stand out among the most sensitive biological sensors known, even better than photoreceptors which can detect a single photon (10(-18)-10(-19) J) of visible light. These tiny sensory hairs can move with a velocity close to that of the surrounding air at frequencies near their mechanical resonance, despite the low viscosity and low density of air. No man-made technology to date demonstrates comparable efficiency. Here we show that nanodimensional spider silk captures fluctuating airflow with maximum physical efficiency (Vsilk/Vair ∼ 1) from 1 Hz to 50 kHz, providing an effective means for miniaturized flow sensing. Our mathematical model shows excellent agreement with experimental results for silk with various diameters: 500 nm, 1.6 µm, and 3 µm. When a fiber is sufficiently thin, it can move with the medium flow perfectly due to the domination of forces applied to it by the medium over those associated with its mechanical properties. These results suggest that the aerodynamic property of silk can provide an airborne acoustic signal to a spider directly, in addition to the well-known substrate-borne information. By modifying a spider silk to be conductive and transducing its motion using electromagnetic induction, we demonstrate a miniature, directional, broadband, passive, low-cost approach to detect airflow with full fidelity over a frequency bandwidth that easily spans the full range of human hearing, as well as that of many other mammals.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Researcher 11 16%
Student > Master 5 7%
Professor 4 6%
Professor > Associate Professor 4 6%
Other 9 13%
Unknown 20 30%
Readers by discipline Count As %
Engineering 20 30%
Agricultural and Biological Sciences 6 9%
Physics and Astronomy 5 7%
Biochemistry, Genetics and Molecular Biology 3 4%
Materials Science 3 4%
Other 7 10%
Unknown 23 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 179. 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 13 December 2023.
All research outputs
#225,998
of 25,477,125 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#4,261
of 103,178 outputs
Outputs of similar age
#4,702
of 340,029 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#69
of 969 outputs
Altmetric has tracked 25,477,125 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 103,178 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. This one has done particularly well, scoring higher than 95% 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 340,029 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 98% of its contemporaries.
We're also able to compare this research output to 969 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 92% of its contemporaries.