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An interspecific assessment of Bergmann’s rule in 22 mammalian families

Overview of attention for article published in BMC Ecology and Evolution, October 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
An interspecific assessment of Bergmann’s rule in 22 mammalian families
Published in
BMC Ecology and Evolution, October 2016
DOI 10.1186/s12862-016-0778-x
Pubmed ID
Authors

Jostein Gohli, Kjetil L. Voje

Abstract

Bergmann's rule proposes that animals in cold habitats will be larger than those in warm habitats. This prediction has been tested thoroughly at the intraspecific level, but few studies have investigated the hypothesis with interspecific data using phylogenetic comparative approaches. Many clades of mammals have representatives in numerous distinct biomes, making this order highly suitable for a large-scale interspecific assessment of Bergmann's rule. Here, we evaluate Bergmann's rule within 22 mammalian families-with a dataset that include ~35 % of all described species-using a phylogenetic comparative approach. The method is based on an Ornstein-Uhlenbeck model of evolution that allows for joint estimation of adaptation and constraints (phylogenetic inertia) in the evolution of a trait. We use this comparative method to investigate whether body mass evolves towards phenotypic optima that are functions of median latitude, maximum latitude or temperature. We also assess the closely related Allen's rule in five families, by testing if relative forelimb length evolves as a function of temperature or latitude. Among 22 mammalian families, there was weak support for Bergmann's rule in one family: A decrease in temperature predicted increased body mass in Canidae (canids). We also found latitude and temperature to significantly predict body mass in Geomyidae (pocket gophers); however, the association went in the opposite direction of Bergmann's predictions. Allen's rule was supported in one of the five examined families (Pteropodidae; megabats), but only when forelimb length evolves towards an optimum that is a function of maximum latitude, not median latitude or temperature. Based on this exhaustive assessment of Bergmann's rule, we conclude that factors other than latitude and temperature are the major drivers of body mass evolution at the family level in mammals.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Unknown 114 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 25 22%
Student > Ph. D. Student 18 16%
Researcher 11 10%
Student > Master 11 10%
Professor > Associate Professor 9 8%
Other 12 10%
Unknown 29 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 43%
Environmental Science 9 8%
Earth and Planetary Sciences 6 5%
Biochemistry, Genetics and Molecular Biology 6 5%
Arts and Humanities 2 2%
Other 7 6%
Unknown 35 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 December 2019.
All research outputs
#2,450,134
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#626
of 3,714 outputs
Outputs of similar age
#41,039
of 323,139 outputs
Outputs of similar age from BMC Ecology and Evolution
#22
of 95 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 83% 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 323,139 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 87% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.