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Comprehensive evaluation of SNP identification with the Restriction Enzyme-based Reduced Representation Library (RRL) method

Overview of attention for article published in BMC Genomics, February 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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1 X user
patent
2 patents
facebook
1 Facebook page

Citations

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9 Dimensions

Readers on

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52 Mendeley
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2 CiteULike
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Title
Comprehensive evaluation of SNP identification with the Restriction Enzyme-based Reduced Representation Library (RRL) method
Published in
BMC Genomics, February 2012
DOI 10.1186/1471-2164-13-77
Pubmed ID
Authors

Ye Du, Hui Jiang, Ying Chen, Cong Li, Meiru Zhao, Jinghua Wu, Yong Qiu, Qibin Li, Xiuqing Zhang

Abstract

Restriction Enzyme-based Reduced Representation Library (RRL) method represents a relatively feasible and flexible strategy used for Single Nucleotide Polymorphism (SNP) identification in different species. It has remarkable advantage of reducing the complexity of the genome by orders of magnitude. However, comprehensive evaluation for actual efficacy of SNP identification by this method is still unavailable.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
India 1 2%
Netherlands 1 2%
Ireland 1 2%
Unknown 47 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Researcher 14 27%
Student > Master 5 10%
Student > Postgraduate 4 8%
Professor > Associate Professor 3 6%
Other 5 10%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 58%
Biochemistry, Genetics and Molecular Biology 4 8%
Environmental Science 2 4%
Medicine and Dentistry 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 4%
Unknown 11 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 October 2014.
All research outputs
#6,749,908
of 22,663,150 outputs
Outputs from BMC Genomics
#3,058
of 10,613 outputs
Outputs of similar age
#45,079
of 155,000 outputs
Outputs of similar age from BMC Genomics
#25
of 73 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,613 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 70% 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 155,000 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 73 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.