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Identification of Rays through DNA Barcoding: An Application for Ecologists

Overview of attention for article published in PLOS ONE, June 2012
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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1 blog
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3 X users

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Title
Identification of Rays through DNA Barcoding: An Application for Ecologists
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0036479
Pubmed ID
Authors

Florencia Cerutti-Pereyra, Mark G. Meekan, Nu-Wei V. Wei, Owen O'Shea, Corey J. A. Bradshaw, Chris M. Austin

Abstract

DNA barcoding potentially offers scientists who are not expert taxonomists a powerful tool to support the accuracy of field studies involving taxa that are diverse and difficult to identify. The taxonomy of rays has received reasonable attention in Australia, although the fauna in remote locations such as Ningaloo Reef, Western Australia is poorly studied and the identification of some species in the field is problematic. Here, we report an application of DNA-barcoding to the identification of 16 species (from 10 genera) of tropical rays as part of an ecological study. Analysis of the dataset combined across all samples grouped sequences into clearly defined operational taxonomic units, with two conspicuous exceptions: the Neotrygon kuhlii species complex and the Aetobatus species complex. In the field, the group that presented the most difficulties for identification was the spotted whiptail rays, referred to as the 'uarnak' complex. Two sets of problems limited the successful application of DNA barcoding: (1) the presence of cryptic species, species complexes with unresolved taxonomic status and intra-specific geographical variation, and (2) insufficient numbers of entries in online databases that have been verified taxonomically, and the presence of lodged sequences in databases with inconsistent names. Nevertheless, we demonstrate the potential of the DNA barcoding approach to confirm field identifications and to highlight species complexes where taxonomic uncertainty might confound ecological data.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 <1%
Australia 2 <1%
United Arab Emirates 1 <1%
Malaysia 1 <1%
Colombia 1 <1%
Brazil 1 <1%
India 1 <1%
Chile 1 <1%
Iceland 1 <1%
Other 3 1%
Unknown 203 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 18%
Student > Master 36 17%
Researcher 33 15%
Student > Bachelor 33 15%
Professor 10 5%
Other 34 16%
Unknown 32 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 110 51%
Environmental Science 27 12%
Biochemistry, Genetics and Molecular Biology 25 12%
Earth and Planetary Sciences 7 3%
Medicine and Dentistry 3 1%
Other 11 5%
Unknown 34 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 28 November 2017.
All research outputs
#3,601,788
of 22,668,244 outputs
Outputs from PLOS ONE
#44,579
of 193,511 outputs
Outputs of similar age
#25,068
of 167,349 outputs
Outputs of similar age from PLOS ONE
#752
of 3,855 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 76% 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 167,349 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 85% of its contemporaries.
We're also able to compare this research output to 3,855 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.