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Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy

Overview of attention for article published in PLOS ONE, December 2013
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
2 news outlets
blogs
3 blogs
twitter
6 X users
facebook
2 Facebook pages
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
138 Mendeley
citeulike
1 CiteULike
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Title
Cryptic Speciation Patterns in Iranian Rock Lizards Uncovered by Integrative Taxonomy
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0080563
Pubmed ID
Authors

Faraham Ahmadzadeh, Morris Flecks, Miguel A. Carretero, Omid Mozaffari, Wolfgang Böhme, D. James Harris, Susana Freitas, Dennis Rödder

Abstract

While traditionally species recognition has been based solely on morphological differences either typological or quantitative, several newly developed methods can be used for a more objective and integrative approach on species delimitation. This may be especially relevant when dealing with cryptic species or species complexes, where high overall resemblance between species is coupled with comparatively high morphological variation within populations. Rock lizards, genus Darevskia, are such an example, as many of its members offer few diagnostic morphological features. Herein, we use a combination of genetic, morphological and ecological criteria to delimit cryptic species within two species complexes, D. chlorogaster and D. defilippii, both distributed in northern Iran. Our analyses are based on molecular information from two nuclear and two mitochondrial genes, morphological data (15 morphometric, 16 meristic and four categorical characters) and eleven newly calculated spatial environmental predictors. The phylogeny inferred for Darevskia confirmed monophyly of each species complex, with each of them comprising several highly divergent clades, especially when compared to other congeners. We identified seven candidate species within each complex, of which three and four species were supported by Bayesian species delimitation within D. chlorogaster and D. defilippii, respectively. Trained with genetically determined clades, Ecological Niche Modeling provided additional support for these cryptic species. Especially those within the D. defilippii-complex exhibit well-differentiated niches. Due to overall morphological resemblance, in a first approach PCA with mixed variables only showed the separation between the two complexes. However, MANCOVA and subsequent Discriminant Analysis performed separately for both complexes allowed for distinction of the species when sample size was large enough, namely within the D. chlorogaster-complex. In conclusion, the results support four new species, which are described herein.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
Spain 3 2%
Denmark 2 1%
Iran, Islamic Republic of 1 <1%
Italy 1 <1%
India 1 <1%
Mexico 1 <1%
Unknown 126 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 19%
Researcher 22 16%
Student > Master 21 15%
Student > Bachelor 16 12%
Other 8 6%
Other 21 15%
Unknown 24 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 53%
Environmental Science 14 10%
Biochemistry, Genetics and Molecular Biology 12 9%
Earth and Planetary Sciences 3 2%
Computer Science 2 1%
Other 5 4%
Unknown 29 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 05 December 2023.
All research outputs
#931,656
of 24,246,771 outputs
Outputs from PLOS ONE
#12,367
of 208,607 outputs
Outputs of similar age
#10,305
of 316,724 outputs
Outputs of similar age from PLOS ONE
#367
of 5,004 outputs
Altmetric has tracked 24,246,771 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 208,607 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done particularly well, scoring higher than 94% 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 316,724 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 96% of its contemporaries.
We're also able to compare this research output to 5,004 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 92% of its contemporaries.