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Algorithmic approaches to aid species' delimitation in multidimensional morphospace

Overview of attention for article published in BMC Ecology and Evolution, June 2010
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179 Mendeley
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Article details
Title
Algorithmic approaches to aid species' delimitation in multidimensional morphospace
Published in
BMC Ecology and Evolution, June 2010
DOI 10.1186/1471-2148-10-175
Pubmed ID
Authors
Abstract

The species is a fundamental unit of biological pattern and process, but its delimitation has proven a ready source of argument and disagreement. Here, we discuss four key steps that utilize statistical thresholds to describe the morphological variability within a sample and hence assess whether there is evidence for one or multiple species. Once the initial set of biologically relevant traits on comparable individuals has been identified, there is no need for the investigator to hypothesise how specimens might be divided among groups, nor the traits on which groups might be separated.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 179 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 %
United States 3 2%
United Kingdom 3 2%
Brazil 3 2%
Australia 3 2%
Mexico 2 1%
Argentina 2 1%
Serbia 1 <1%
New Zealand 1 <1%
Italy 1 <1%
Other 6 3%
Unknown 154 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 53 30%
Student > Ph. D. Student 35 20%
Student > Master 18 10%
Student > Bachelor 12 7%
Student > Doctoral Student 11 6%
Other 33 18%
Unknown 17 9%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 106 59%
Earth and Planetary Sciences 29 16%
Environmental Science 10 6%
Biochemistry, Genetics and Molecular Biology 4 2%
Philosophy 2 1%
Other 5 3%
Unknown 23 13%