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The Fiber Walk: A Model of Tip-Driven Growth with Lateral Expansion

Overview of attention for article published in PLOS ONE, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
3 X users
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
20 Mendeley
citeulike
2 CiteULike
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Title
The Fiber Walk: A Model of Tip-Driven Growth with Lateral Expansion
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0085585
Pubmed ID
Authors

Alexander Bucksch, Greg Turk, Joshua S. Weitz

Abstract

Tip-driven growth processes underlie the development of many plants. To date, tip-driven growth processes have been modeled as an elongating path or series of segments, without taking into account lateral expansion during elongation. Instead, models of growth often introduce an explicit thickness by expanding the area around the completed elongated path. Modeling expansion in this way can lead to contradictions in the physical plausibility of the resulting surface and to uncertainty about how the object reached certain regions of space. Here, we introduce fiber walks as a self-avoiding random walk model for tip-driven growth processes that includes lateral expansion. In 2D, the fiber walk takes place on a square lattice and the space occupied by the fiber is modeled as a lateral contraction of the lattice. This contraction influences the possible subsequent steps of the fiber walk. The boundary of the area consumed by the contraction is derived as the dual of the lattice faces adjacent to the fiber. We show that fiber walks generate fibers that have well-defined curvatures, and thus enable the identification of the process underlying the occupancy of physical space. Hence, fiber walks provide a base from which to model both the extension and expansion of physical biological objects with finite thickness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 10%
United Kingdom 1 5%
France 1 5%
Belgium 1 5%
Unknown 15 75%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 50%
Professor 3 15%
Student > Ph. D. Student 3 15%
Student > Doctoral Student 1 5%
Unspecified 1 5%
Other 1 5%
Unknown 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 55%
Computer Science 2 10%
Engineering 2 10%
Physics and Astronomy 2 10%
Mathematics 1 5%
Other 1 5%
Unknown 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 February 2020.
All research outputs
#6,025,700
of 22,741,406 outputs
Outputs from PLOS ONE
#72,008
of 194,090 outputs
Outputs of similar age
#71,158
of 305,705 outputs
Outputs of similar age from PLOS ONE
#1,772
of 5,578 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 194,090 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 62% 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 305,705 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 76% of its contemporaries.
We're also able to compare this research output to 5,578 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 67% of its contemporaries.