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Dynamics of self-propelled particles under strong confinement

Overview of attention for article published in Soft Matter, January 2014
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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1 blog
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1 X user

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155 Mendeley
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Article details
Title
Dynamics of self-propelled particles under strong confinement
Published in
Soft Matter, January 2014
DOI 10.1039/c4sm00975d
Pubmed ID
Authors
Abstract

We develop a statistical theory for the dynamics of non-aligning, non-interacting self-propelled particles confined in a convex box in two dimensions. We find that when the size of the box is small compared to the persistence length of a particle's trajectory (strong confinement), the steady-state density is zero in the bulk and proportional to the local curvature on the boundary. Conversely, the theory may be used to construct the box shape that yields any desired density distribution on the boundary, thus offering a general tool to understand and design such confinements. When the curvature variations are small, we also predict the distribution of orientations at the boundary and the exponential decay of pressure as a function of box size recently observed in simulations in a spherical box.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Japan 1 <1%
Unknown 154 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 66 43%
Researcher 23 15%
Student > Master 15 10%
Professor 9 6%
Student > Doctoral Student 8 5%
Other 16 10%
Unknown 18 12%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 95 61%
Engineering 12 8%
Materials Science 10 6%
Chemical Engineering 8 5%
Chemistry 7 5%
Other 3 2%
Unknown 20 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 31 July 2014.
All research outputs
#5,327,171
of 28,840,878 outputs
Outputs from Soft Matter
#652
of 9,395 outputs
Outputs of similar age
#54,344
of 332,579 outputs
Outputs of similar age from Soft Matter
#21
of 307 outputs
Altmetric has tracked 28,840,878 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,395 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 92% 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 332,579 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 83% of its contemporaries.
We're also able to compare this research output to 307 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.