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Comparing 16S rDNA amplicon sequencing and hybridization capture for pea aphid microbiota diversity analysis

Overview of attention for article published in BMC Research Notes, July 2018
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Title
Comparing 16S rDNA amplicon sequencing and hybridization capture for pea aphid microbiota diversity analysis
Published in
BMC Research Notes, July 2018
DOI 10.1186/s13104-018-3559-3
Pubmed ID
Authors

Marie Cariou, Céline Ribière, Stéphanie Morlière, Jean-Pierre Gauthier, Jean-Christophe Simon, Pierre Peyret, Sylvain Charlat

Abstract

Targeted sequencing of 16S rDNA amplicons is routinely used for microbial community profiling but this method suffers several limitations such as bias affinity of universal primers and short read size. Gene capture by hybridization represents a promising alternative. Here we used a metagenomic extract from the pea aphid Acyrthosiphon pisum to compare the performances of two widely used PCR primer pairs with DNA capture, based on solution hybrid selection. All methods produced an exhaustive description of the 8 bacterial taxa known to be present in this sample. In addition, the methods yielded similar quantitative results, with the number of reads strongly correlating with quantitative PCR controls. Both methods can thus be considered as qualitatively and quantitatively robust on such a sample with low microbial complexity.

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The data shown below were collected from the profiles of 2 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Student > Master 4 11%
Student > Ph. D. Student 3 8%
Professor 3 8%
Student > Bachelor 3 8%
Other 10 26%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 39%
Biochemistry, Genetics and Molecular Biology 5 13%
Immunology and Microbiology 3 8%
Environmental Science 2 5%
Unspecified 1 3%
Other 1 3%
Unknown 11 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 July 2018.
All research outputs
#18,294,766
of 23,498,099 outputs
Outputs from BMC Research Notes
#2,864
of 4,308 outputs
Outputs of similar age
#237,618
of 327,735 outputs
Outputs of similar age from BMC Research Notes
#92
of 142 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 327,735 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.