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Predictive Self-Assembly of Polyhedra into Complex Structures

Overview of attention for article published in Science, July 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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
5 news outlets
blogs
3 blogs
twitter
15 X users
patent
1 patent
facebook
1 Facebook page
wikipedia
7 Wikipedia pages
reddit
2 Redditors

Citations

dimensions_citation
936 Dimensions

Readers on

mendeley
841 Mendeley
citeulike
3 CiteULike
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Title
Predictive Self-Assembly of Polyhedra into Complex Structures
Published in
Science, July 2012
DOI 10.1126/science.1220869
Pubmed ID
Authors

Pablo F. Damasceno, Michael Engel, Sharon C. Glotzer

Abstract

Predicting structure from the attributes of a material's building blocks remains a challenge and central goal for materials science. Isolating the role of building block shape for self-assembly provides insight into the ordering of molecules and the crystallization of colloids, nanoparticles, proteins, and viruses. We investigated 145 convex polyhedra whose assembly arises solely from their anisotropic shape. Our results demonstrate a remarkably high propensity for thermodynamic self-assembly and structural diversity. We show that from simple measures of particle shape and local order in the fluid, the assembly of a given shape into a liquid crystal, plastic crystal, or crystal can be predicted.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users 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 841 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 28 3%
United Kingdom 5 <1%
Germany 4 <1%
Netherlands 4 <1%
Switzerland 3 <1%
Canada 2 <1%
Austria 1 <1%
Australia 1 <1%
France 1 <1%
Other 8 <1%
Unknown 784 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 275 33%
Researcher 143 17%
Student > Master 69 8%
Professor 63 7%
Student > Bachelor 48 6%
Other 154 18%
Unknown 89 11%
Readers by discipline Count As %
Chemistry 178 21%
Physics and Astronomy 164 20%
Materials Science 127 15%
Engineering 114 14%
Chemical Engineering 50 6%
Other 80 10%
Unknown 128 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. 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 14 December 2022.
All research outputs
#481,236
of 24,694,993 outputs
Outputs from Science
#11,236
of 80,051 outputs
Outputs of similar age
#2,261
of 168,339 outputs
Outputs of similar age from Science
#52
of 807 outputs
Altmetric has tracked 24,694,993 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 80,051 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.7. This one has done well, scoring higher than 85% 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 168,339 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 807 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 93% of its contemporaries.