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Self-assembly, modularity, and physical complexity

Overview of attention for article published in Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, August 2010
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
21 X users
video
1 YouTube creator

Citations

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57 Dimensions

Readers on

mendeley
72 Mendeley
citeulike
4 CiteULike
Title
Self-assembly, modularity, and physical complexity
Published in
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, August 2010
DOI 10.1103/physreve.82.026117
Pubmed ID
Authors

S. E. Ahnert, I. G. Johnston, T. M. A. Fink, J. P. K. Doye, A. A. Louis

Abstract

We present a quantitative measure of physical complexity, based on the amount of information required to build a given physical structure through self-assembly. Our procedure can be adapted to any given geometry, and thus, to any given type of physical structure that can be divided into building blocks. We illustrate our approach using self-assembling polyominoes, and demonstrate the breadth of its potential applications by quantifying the physical complexity of molecules and protein complexes. This measure is particularly well suited for the detection of symmetry and modularity in the underlying structure, and allows for a quantitative definition of structural modularity. Furthermore we use our approach to show that symmetric and modular structures are favored in biological self-assembly, for example in protein complexes. Lastly, we also introduce the notions of joint, mutual and conditional complexity, which provide a useful quantitative measure of the difference between physical structures.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
United States 3 4%
Brazil 1 1%
Colombia 1 1%
Serbia 1 1%
Unknown 63 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 24%
Researcher 16 22%
Professor 8 11%
Student > Bachelor 5 7%
Lecturer > Senior Lecturer 4 6%
Other 15 21%
Unknown 7 10%
Readers by discipline Count As %
Physics and Astronomy 18 25%
Computer Science 10 14%
Agricultural and Biological Sciences 9 13%
Biochemistry, Genetics and Molecular Biology 5 7%
Engineering 5 7%
Other 16 22%
Unknown 9 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 07 December 2023.
All research outputs
#3,057,546
of 25,610,986 outputs
Outputs from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#744
of 21,080 outputs
Outputs of similar age
#11,840
of 104,076 outputs
Outputs of similar age from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#5
of 54 outputs
Altmetric has tracked 25,610,986 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,080 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 96% 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 104,076 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 88% of its contemporaries.
We're also able to compare this research output to 54 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.