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POOR STATISTICAL PERFORMANCE OF THE MANTEL TEST IN PHYLOGENETIC COMPARATIVE ANALYSES

Overview of attention for article published in Evolution, January 2010
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Article details
Title
POOR STATISTICAL PERFORMANCE OF THE MANTEL TEST IN PHYLOGENETIC COMPARATIVE ANALYSES
Published in
Evolution, January 2010
DOI 10.1111/j.1558-5646.2010.00973.x
Pubmed ID
Authors
Abstract

The Mantel test, based on comparisons of distance matrices, is commonly employed in comparative biology, but its statistical properties in this context are unknown. Here, we evaluate the performance of the Mantel test for two applications in comparative biology: testing for phylogenetic signal, and testing for an evolutionary correlation between two characters. We find that the Mantel test has poor performance compared to alternative methods, including low power and, under some circumstances, inflated type-I error. We identify a remedy for the inflated type-I error of three-way Mantel tests using phylogenetic permutations; however, this test still has considerably lower power than independent contrasts. We recommend that use of the Mantel test should be restricted to cases in which data can only be expressed as pairwise distances among taxa.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 470 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Brazil 18 4%
United States 11 2%
Canada 6 1%
Germany 6 1%
United Kingdom 3 <1%
France 2 <1%
Switzerland 1 <1%
China 1 <1%
Ecuador 1 <1%
Other 11 2%
Unknown 410 87%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 121 26%
Researcher 101 21%
Student > Master 54 11%
Student > Doctoral Student 36 8%
Professor > Associate Professor 30 6%
Other 82 17%
Unknown 46 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 303 64%
Environmental Science 61 13%
Biochemistry, Genetics and Molecular Biology 13 3%
Earth and Planetary Sciences 12 3%
Computer Science 5 1%
Other 18 4%
Unknown 58 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 December 2017.
All research outputs
#22,698,209
of 27,788,362 outputs
Outputs from Evolution
#5,587
of 6,097 outputs
Outputs of similar age
#182,614
of 196,626 outputs
Outputs of similar age from Evolution
#28
of 29 outputs
Altmetric has tracked 27,788,362 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,097 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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 196,626 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.