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A Generalized Approach to the Modeling and Analysis of 3D Surface Morphology in Organisms

Overview of attention for article published in PLOS ONE, October 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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
51 Mendeley
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Title
A Generalized Approach to the Modeling and Analysis of 3D Surface Morphology in Organisms
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077551
Pubmed ID
Authors

Janice L. Pappas, Daniel J. Miller

Abstract

The surface geometry of an organism represents the boundary of its three-dimensional (3D) form and can be used as a proxy for the phenotype. A mathematical approach is presented that describes surface morphology using parametric 3D equations with variables expressed as x, y, z in terms of parameters u, v. Partial differentiation of variables with respect to parameters yields elements of the Jacobian representing tangent lines and planes of every point on the surface. Jacobian elements provide a compact size-free summary of the entire surface, and can be used as variables in principal components analysis to produce a morphospace. Mollusk and echinoid models are generated to demonstrate that whole organisms can be represented in a common morphospace, regardless of differences in size, geometry, and taxonomic affinity. Models can be used to simulate theoretical forms, novel morphologies, and patterns of phenotypic variation, and can also be empirically-based by designing them with reference to actual forms using reverse engineering principles. Although this study uses the Jacobian to summarize models, they can also be analyzed with 3D methods such as eigensurface, spherical harmonics, wavelet analysis, and geometric morphometrics. This general approach should prove useful for exploring broad questions regarding morphological evolution and variation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Turkey 1 2%
Vietnam 1 2%
Brazil 1 2%
New Zealand 1 2%
United States 1 2%
Unknown 45 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 29%
Student > Ph. D. Student 12 24%
Student > Doctoral Student 5 10%
Student > Bachelor 5 10%
Student > Master 3 6%
Other 8 16%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 41%
Earth and Planetary Sciences 10 20%
Computer Science 3 6%
Engineering 3 6%
Mathematics 2 4%
Other 7 14%
Unknown 5 10%
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 30 October 2013.
All research outputs
#5,580,625
of 22,729,647 outputs
Outputs from PLOS ONE
#67,855
of 194,027 outputs
Outputs of similar age
#50,027
of 211,948 outputs
Outputs of similar age from PLOS ONE
#1,498
of 5,124 outputs
Altmetric has tracked 22,729,647 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 194,027 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 65% 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 211,948 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 5,124 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 70% of its contemporaries.