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Estimating Mass Properties of Dinosaurs Using Laser Imaging and 3D Computer Modelling

Overview of attention for article published in PLOS ONE, February 2009
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
3 news outlets
blogs
4 blogs
twitter
1 X user
wikipedia
29 Wikipedia pages
video
1 YouTube creator

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
208 Mendeley
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2 CiteULike
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Title
Estimating Mass Properties of Dinosaurs Using Laser Imaging and 3D Computer Modelling
Published in
PLOS ONE, February 2009
DOI 10.1371/journal.pone.0004532
Pubmed ID
Authors

Karl T. Bates, Phillip L. Manning, David Hodgetts, William I. Sellers

Abstract

Body mass reconstructions of extinct vertebrates are most robust when complete to near-complete skeletons allow the reconstruction of either physical or digital models. Digital models are most efficient in terms of time and cost, and provide the facility to infinitely modify model properties non-destructively, such that sensitivity analyses can be conducted to quantify the effect of the many unknown parameters involved in reconstructions of extinct animals. In this study we use laser scanning (LiDAR) and computer modelling methods to create a range of 3D mass models of five specimens of non-avian dinosaur; two near-complete specimens of Tyrannosaurus rex, the most complete specimens of Acrocanthosaurus atokensis and Strutiomimum sedens, and a near-complete skeleton of a sub-adult Edmontosaurus annectens. LiDAR scanning allows a full mounted skeleton to be imaged resulting in a detailed 3D model in which each bone retains its spatial position and articulation. This provides a high resolution skeletal framework around which the body cavity and internal organs such as lungs and air sacs can be reconstructed. This has allowed calculation of body segment masses, centres of mass and moments or inertia for each animal. However, any soft tissue reconstruction of an extinct taxon inevitably represents a best estimate model with an unknown level of accuracy. We have therefore conducted an extensive sensitivity analysis in which the volumes of body segments and respiratory organs were varied in an attempt to constrain the likely maximum plausible range of mass parameters for each animal. Our results provide wide ranges in actual mass and inertial values, emphasizing the high level of uncertainty inevitable in such reconstructions. However, our sensitivity analysis consistently places the centre of mass well below and in front of hip joint in each animal, regardless of the chosen combination of body and respiratory structure volumes. These results emphasize that future biomechanical assessments of extinct taxa should be preceded by a detailed investigation of the plausible range of mass properties, in which sensitivity analyses are used to identify a suite of possible values to be tested as inputs in analytical models.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 3 1%
Germany 1 <1%
Chile 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Italy 1 <1%
Luxembourg 1 <1%
Unknown 195 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 23%
Student > Ph. D. Student 40 19%
Student > Master 24 12%
Student > Bachelor 24 12%
Other 12 6%
Other 31 15%
Unknown 30 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 30%
Earth and Planetary Sciences 58 28%
Engineering 12 6%
Computer Science 9 4%
Arts and Humanities 8 4%
Other 24 12%
Unknown 34 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 08 May 2024.
All research outputs
#766,422
of 25,866,425 outputs
Outputs from PLOS ONE
#10,145
of 225,574 outputs
Outputs of similar age
#1,712
of 110,259 outputs
Outputs of similar age from PLOS ONE
#33
of 535 outputs
Altmetric has tracked 25,866,425 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,574 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 95% 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 110,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 535 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 93% of its contemporaries.