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Direct detection and measurement of wall shear stress using a filamentous bio-nanoparticle

Overview of attention for article published in Nano Research, August 2015
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46 Mendeley
Title
Direct detection and measurement of wall shear stress using a filamentous bio-nanoparticle
Published in
Nano Research, August 2015
DOI 10.1007/s12274-015-0831-x
Pubmed ID
Authors

Daniela P. Lobo, Alan M. Wemyss, David J. Smith, Anne Straube, Kai B. Betteridge, Andrew H. J. Salmon, Rebecca R. Foster, Hesham E. Elhegni, Simon C. Satchell, Haydn A. Little, Raúl Pacheco-Gómez, Mark J. Simmons, Matthew R. Hicks, David O. Bates, Alison Rodger, Timothy R. Dafforn, Kenton P. Arkill

Abstract

The wall shear stress (WSS) that a moving fluid exerts on a surface affects many processes including those relating to vascular function. WSS plays an important role in normal physiology (e.g. angiogenesis) and affects the microvasculature's primary function of molecular transport. Points of fluctuating WSS show abnormalities in a number of diseases; however, there is no established technique for measuring WSS directly in physiological systems. All current methods rely on estimates obtained from measured velocity gradients in bulk flow data. In this work, we report a nanosensor that can directly measure WSS in microfluidic chambers with sub-micron spatial resolution by using a specific type of virus, the bacteriophage M13, which has been fluorescently labeled and anchored to a surface. It is demonstrated that the nanosensor can be calibrated and adapted for biological tissue, revealing WSS in micro-domains of cells that cannot be calculated accurately from bulk flow measurements. This method lends itself to a platform applicable to many applications in biology and microfluidics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Poland 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 10 22%
Professor > Associate Professor 6 13%
Student > Master 5 11%
Professor 2 4%
Other 4 9%
Unknown 7 15%
Readers by discipline Count As %
Engineering 9 20%
Agricultural and Biological Sciences 6 13%
Biochemistry, Genetics and Molecular Biology 5 11%
Chemistry 5 11%
Medicine and Dentistry 3 7%
Other 9 20%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 August 2017.
All research outputs
#14,842,329
of 22,856,968 outputs
Outputs from Nano Research
#654
of 2,954 outputs
Outputs of similar age
#148,078
of 267,581 outputs
Outputs of similar age from Nano Research
#23
of 26 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,954 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 76% 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 267,581 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.