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Assessing biodiversity of a freshwater benthic macroinvertebrate community through non-destructive environmental barcoding of DNA from preservative ethanol

Overview of attention for article published in BMC Ecology and Evolution, December 2012
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  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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8 X users

Citations

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188 Dimensions

Readers on

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371 Mendeley
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2 CiteULike
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Title
Assessing biodiversity of a freshwater benthic macroinvertebrate community through non-destructive environmental barcoding of DNA from preservative ethanol
Published in
BMC Ecology and Evolution, December 2012
DOI 10.1186/1472-6785-12-28
Pubmed ID
Authors

Mehrdad Hajibabaei, Jennifer L Spall, Shadi Shokralla, Steven van Konynenburg

Abstract

Characterizing biodiversity in a habitat or in targeted taxonomically or socioeconomically important groups remains a challenge. Standard DNA-based biodiversity identification tools such as DNA barcoding coupled with high-throughput Next-Generation Sequencing (NGS) technologies are rapidly changing the landscape of biodiversity analysis by targeting various habitats and a wide array of organisms. However, effective use of these technological advances requires optimized protocols and benchmarking against traditional tools. Here we investigate the use of commonly used preservative ethanol as a non-destructive and inexpensive source of DNA for NGS biodiversity analysis of benthic macroinvertebrates. We used the preservative ethanol added to field collected organisms (live sorted bulk benthic samples) as a source of community DNA for NGS environmental barcoding. We directly compare this approach with a DNA barcode library generated using Sanger sequencing of all individuals separated from abenthic sample as well as with NGS environmental barcoding of DNA extracted from mixed/homogenized tissue specimens of the same benthic sample. We also evaluate a multiplex PCR strategy, as compared to commonly used single amplicon workflow, using three newly designed primer sets targeting a wide array of benthic macroinvertebrate taxa.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 371 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 4 1%
Spain 3 <1%
United States 3 <1%
Canada 2 <1%
Brazil 2 <1%
Australia 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
New Zealand 1 <1%
Other 3 <1%
Unknown 350 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 97 26%
Student > Ph. D. Student 63 17%
Student > Master 58 16%
Student > Bachelor 41 11%
Professor > Associate Professor 16 4%
Other 53 14%
Unknown 43 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 183 49%
Environmental Science 70 19%
Biochemistry, Genetics and Molecular Biology 35 9%
Computer Science 3 <1%
Earth and Planetary Sciences 3 <1%
Other 17 5%
Unknown 60 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 March 2021.
All research outputs
#7,204,882
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#1,633
of 3,714 outputs
Outputs of similar age
#70,936
of 289,094 outputs
Outputs of similar age from BMC Ecology and Evolution
#25
of 65 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 55% 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 289,094 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 75% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.