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A universal scaling relationship between body mass and proximal limb bone dimensions in quadrupedal terrestrial tetrapods

Overview of attention for article published in BMC Biology, July 2012
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Title
A universal scaling relationship between body mass and proximal limb bone dimensions in quadrupedal terrestrial tetrapods
Published in
BMC Biology, July 2012
DOI 10.1186/1741-7007-10-60
Pubmed ID
Authors

Nicolás E Campione, David C Evans

Abstract

Body size is intimately related to the physiology and ecology of an organism. Therefore, accurate and consistent body mass estimates are essential for inferring numerous aspects of paleobiology in extinct taxa, and investigating large-scale evolutionary and ecological patterns in the history of life. Scaling relationships between skeletal measurements and body mass in birds and mammals are commonly used to predict body mass in extinct members of these crown clades, but the applicability of these models for predicting mass in more distantly related stem taxa, such as non-avian dinosaurs and non-mammalian synapsids, has been criticized on biomechanical grounds. Here we test the major criticisms of scaling methods for estimating body mass using an extensive dataset of mammalian and non-avian reptilian species derived from individual skeletons with live weights.

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The data shown below were collected from the profiles of 36 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 294 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 3 1%
Canada 2 <1%
Italy 1 <1%
Brazil 1 <1%
France 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Argentina 1 <1%
Other 1 <1%
Unknown 279 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 22%
Student > Bachelor 51 17%
Researcher 42 14%
Student > Master 30 10%
Student > Doctoral Student 15 5%
Other 38 13%
Unknown 52 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 113 38%
Earth and Planetary Sciences 68 23%
Environmental Science 12 4%
Engineering 8 3%
Biochemistry, Genetics and Molecular Biology 7 2%
Other 25 9%
Unknown 61 21%