↓ Skip to main content

Cascading and Parallelising Curvilinear Inertial Focusing Systems for High Volume, Wide Size Distribution, Separation and Concentration of Particles

Overview of attention for article published in Scientific Reports, November 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
patent
1 patent

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
48 Mendeley
Title
Cascading and Parallelising Curvilinear Inertial Focusing Systems for High Volume, Wide Size Distribution, Separation and Concentration of Particles
Published in
Scientific Reports, November 2016
DOI 10.1038/srep36386
Pubmed ID
Authors

B. Miller, M. Jimenez, H. Bridle

Abstract

Inertial focusing is a microfluidic based separation and concentration technology that has expanded rapidly in the last few years. Throughput is high compared to other microfluidic approaches although sample volumes have typically remained in the millilitre range. Here we present a strategy for achieving rapid high volume processing with stacked and cascaded inertial focusing systems, allowing for separation and concentration of particles with a large size range, demonstrated here from 30 μm-300 μm. The system is based on curved channels, in a novel toroidal configuration and a stack of 20 devices has been shown to operate at 1 L/min. Recirculation allows for efficient removal of large particles whereas a cascading strategy enables sequential removal of particles down to a final stage where the target particle size can be concentrated. The demonstration of curved stacked channels operating in a cascaded manner allows for high throughput applications, potentially replacing filtration in applications such as environmental monitoring, industrial cleaning processes, biomedical and bioprocessing and many more.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Researcher 6 13%
Student > Bachelor 5 10%
Student > Doctoral Student 3 6%
Student > Master 3 6%
Other 5 10%
Unknown 11 23%
Readers by discipline Count As %
Engineering 14 29%
Chemical Engineering 6 13%
Biochemistry, Genetics and Molecular Biology 4 8%
Environmental Science 2 4%
Agricultural and Biological Sciences 2 4%
Other 6 13%
Unknown 14 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 June 2020.
All research outputs
#2,293,448
of 22,899,952 outputs
Outputs from Scientific Reports
#20,235
of 123,730 outputs
Outputs of similar age
#42,142
of 311,569 outputs
Outputs of similar age from Scientific Reports
#659
of 3,566 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 123,730 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 83% 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 311,569 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 3,566 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.