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Analyzing Taphonomic Deformation of Ankylosaur Skulls Using Retrodeformation and Finite Element Analysis

Overview of attention for article published in PLOS ONE, June 2012
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Title
Analyzing Taphonomic Deformation of Ankylosaur Skulls Using Retrodeformation and Finite Element Analysis
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0039323
Pubmed ID
Authors

Victoria M. Arbour, Philip J. Currie

Abstract

Taphonomic deformation can make the interpretation of vertebrate fossil morphology difficult. The effects of taphonomic deformation are investigated in two ankylosaurid dinosaur taxa, Euoplocephalus tutus (to investigate effects on our understanding of intraspecific variation) and Minotaurasaurus ramachandrani (to investigate the validity of this genus). The ratio of orbit maximum rostrocaudal length to perpendicular height is used as a strain ellipse, which can be used to determine if ankylosaur skull fossils have been dorsoventrally compacted during fossilization and diagenesis. The software program Geomagic is used to retrodeform three-dimensional (3D) digital models of the ankylosaur skulls. The effects of sediment compaction are modeled using finite element analysis, and the resulting strain distributions are compared with the retrodeformed models as a test of the retrodeformation method. Taphonomic deformation can account for a large amount of intraspecific variation in Euoplocephalus, but finite element analysis and retrodeformation of Minotaurasaurus shows that many of its diagnostic features are unlikely to result from deformation.

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Geographical breakdown

Country Count As %
United Kingdom 2 2%
Argentina 2 2%
Canada 1 1%
Spain 1 1%
United States 1 1%
Unknown 87 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 21%
Student > Ph. D. Student 18 19%
Student > Bachelor 12 13%
Student > Master 10 11%
Student > Doctoral Student 5 5%
Other 13 14%
Unknown 16 17%
Readers by discipline Count As %
Earth and Planetary Sciences 32 34%
Agricultural and Biological Sciences 24 26%
Environmental Science 5 5%
Engineering 4 4%
Sports and Recreations 2 2%
Other 8 9%
Unknown 19 20%