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Spontaneous motion in hierarchically assembled active matter

Overview of attention for article published in Nature, November 2012
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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 (99th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
7 news outlets
blogs
4 blogs
twitter
16 X users
patent
1 patent
facebook
1 Facebook page
googleplus
1 Google+ user
video
1 YouTube creator

Readers on

mendeley
1044 Mendeley
citeulike
3 CiteULike
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Article details
Title
Spontaneous motion in hierarchically assembled active matter
Published in
Nature, November 2012
DOI 10.1038/nature11591
Pubmed ID
Authors
Abstract

With remarkable precision and reproducibility, cells orchestrate the cooperative action of thousands of nanometre-sized molecular motors to carry out mechanical tasks at much larger length scales, such as cell motility, division and replication. Besides their biological importance, such inherently non-equilibrium processes suggest approaches for developing biomimetic active materials from microscopic components that consume energy to generate continuous motion. Being actively driven, these materials are not constrained by the laws of equilibrium statistical mechanics and can thus exhibit sought-after properties such as autonomous motility, internally generated flows and self-organized beating. Here, starting from extensile microtubule bundles, we hierarchically assemble far-from-equilibrium analogues of conventional polymer gels, liquid crystals and emulsions. At high enough concentration, the microtubules form a percolating active network characterized by internally driven chaotic flows, hydrodynamic instabilities, enhanced transport and fluid mixing. When confined to emulsion droplets, three-dimensional networks spontaneously adsorb onto the droplet surfaces to produce highly active two-dimensional nematic liquid crystals whose streaming flows are controlled by internally generated fractures and self-healing, as well as unbinding and annihilation of oppositely charged disclination defects. The resulting active emulsions exhibit unexpected properties, such as autonomous motility, which are not observed in their passive analogues. Taken together, these observations exemplify how assemblages of animate microscopic objects exhibit collective biomimetic properties that are very different from those found in materials assembled from inanimate building blocks, challenging us to develop a theoretical framework that would allow for a systematic engineering of their far-from-equilibrium material properties.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users 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 1,044 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 13 1%
United Kingdom 9 <1%
France 6 <1%
Spain 4 <1%
India 3 <1%
Netherlands 2 <1%
Japan 2 <1%
South Africa 1 <1%
Sweden 1 <1%
Other 5 <1%
Unknown 998 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 297 28%
Researcher 172 16%
Student > Master 108 10%
Student > Bachelor 69 7%
Professor 57 5%
Other 154 15%
Unknown 187 18%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 387 37%
Agricultural and Biological Sciences 94 9%
Chemistry 94 9%
Engineering 85 8%
Materials Science 53 5%
Other 128 12%
Unknown 203 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 94. 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 04 July 2023.
All research outputs
#538,578
of 31,393,817 outputs
Outputs from Nature
#23,905
of 111,484 outputs
Outputs of similar age
#2,608
of 223,350 outputs
Outputs of similar age from Nature
#225
of 1,093 outputs
Altmetric has tracked 31,393,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 111,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 98.2. This one has done well, scoring higher than 78% 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 223,350 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 1,093 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.