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Continuum descriptions of cytoskeletal dynamics

Overview of attention for article published in Journal of Nanobiotechnology, December 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

blogs
1 blog

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mendeley
13 Mendeley
Title
Continuum descriptions of cytoskeletal dynamics
Published in
Journal of Nanobiotechnology, December 2013
DOI 10.1186/1477-3155-11-s1-s5
Pubmed ID
Authors

Karsten Kruse

Abstract

This tutorial presents an introduction into continuum descriptions of cytoskeletal dynamics. In contrast to discrete models in which each molecule keeps its identity, such descriptions are given in terms of averaged quantities per unit volume like the number density of a certain molecule. Starting with a discrete description for the assembly dynamics of cytoskeletal filaments, we derive the continuity equation, which serves as the basis of many continuum theories. We illustrate the use of this approach with an investigation of spontaneous cytoskeletal polymerization waves. Such waves have by now been observed in various cell types and might help to orchestrate cytoskeletal dynamics during cell spreading and locomotion. Our analysis shows how processes at the scale of single molecules, namely, the nucleation of new filaments and filament treadmilling, can lead to the spontaneous appearance of coherent traveling waves on scales spanning many filament lengths. For readers less familiar with calculus, we include an informal introduction to the Taylor expansion.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 46%
Professor 1 8%
Other 1 8%
Student > Master 1 8%
Researcher 1 8%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Physics and Astronomy 4 31%
Engineering 2 15%
Agricultural and Biological Sciences 2 15%
Nursing and Health Professions 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Other 0 0%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 December 2013.
All research outputs
#5,551,699
of 22,736,112 outputs
Outputs from Journal of Nanobiotechnology
#170
of 1,397 outputs
Outputs of similar age
#64,483
of 306,799 outputs
Outputs of similar age from Journal of Nanobiotechnology
#5
of 15 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,397 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 87% 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 306,799 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 78% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.