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The Phylogeographical Pattern and Conservation of the Chinese Cobra (Naja atra) across Its Range Based on Mitochondrial Control Region Sequences

Overview of attention for article published in PLOS ONE, September 2014
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 news outlet
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1 X user
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1 Redditor

Citations

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15 Dimensions

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35 Mendeley
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Title
The Phylogeographical Pattern and Conservation of the Chinese Cobra (Naja atra) across Its Range Based on Mitochondrial Control Region Sequences
Published in
PLOS ONE, September 2014
DOI 10.1371/journal.pone.0106944
Pubmed ID
Authors

Long-Hui Lin, Lei Hua, Yan-Fu Qu, Jian-Fang Gao, Xiang Ji

Abstract

The vulnerable Chinese cobra (Naja atra) ranges from southeastern China south of the Yangtze River to northern Vietnam and Laos. Large mountain ranges and water bodies may influence the pattern of genetic diversity of this species. We sequenced the mitochondrial DNA control region (1029 bp) using 285 individuals collected from 23 localities across the species' range and obtained 18 sequences unique to Taiwan from GenBank for phylogenetic and population analysis. Two distinct clades were identified, one including haplotypes from the two westernmost localities (Hekou and Miyi) and the other including haplotypes from all sampling sites except Miyi. A strong population structure was found (Φst = 0.76, P<0.0001) with high haplotype diversity (h = 1.00) and low nucleotide diversity (π = 0.0049). The Luoxiao and Nanling Mountains act as historical geographical barriers limiting gene exchange. In the haplotype network there were two "star" clusters. Haplotypes from populations east of the Luoxiao Mountains were represented within one cluster and haplotypes from populations west of the mountain range within the other, with haplotypes from populations south of the Nanling Mountains in between. Lineage sorting between mainland and island populations is incomplete. It remains unknown as to how much adaptive differentiation there is between population groups or within each group. We caution against long-distance transfers within any group, especially when environmental differences are apparent.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
Spain 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 20%
Student > Master 7 20%
Student > Ph. D. Student 7 20%
Researcher 6 17%
Lecturer > Senior Lecturer 1 3%
Other 2 6%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 34%
Environmental Science 7 20%
Biochemistry, Genetics and Molecular Biology 7 20%
Earth and Planetary Sciences 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 0 0%
Unknown 6 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 18 August 2020.
All research outputs
#2,333,129
of 22,761,738 outputs
Outputs from PLOS ONE
#29,707
of 194,198 outputs
Outputs of similar age
#25,911
of 237,864 outputs
Outputs of similar age from PLOS ONE
#720
of 5,024 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 84% 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 237,864 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 89% of its contemporaries.
We're also able to compare this research output to 5,024 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.