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A genome-wide detection of copy number variations using SNP genotyping arrays in swine

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

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78 Dimensions

Readers on

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51 Mendeley
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Title
A genome-wide detection of copy number variations using SNP genotyping arrays in swine
Published in
BMC Genomics, June 2012
DOI 10.1186/1471-2164-13-273
Pubmed ID
Authors

Jiying Wang, Jicai Jiang, Weixuan Fu, Li Jiang, Xiangdong Ding, Jian-Feng Liu, Qin Zhang

Abstract

Copy Number Variations (CNVs) have been shown important in both normal phenotypic variability and disease susceptibility, and are increasingly accepted as another important source of genetic variation complementary to single nucleotide polymorphism (SNP). Comprehensive identification and cataloging of pig CNVs would be of benefit to the functional analyses of genome variation.

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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 2%
Australia 1 2%
Brazil 1 2%
Canada 1 2%
United States 1 2%
Poland 1 2%
Unknown 45 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 35%
Researcher 10 20%
Student > Master 5 10%
Lecturer > Senior Lecturer 3 6%
Student > Postgraduate 3 6%
Other 2 4%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 63%
Biochemistry, Genetics and Molecular Biology 4 8%
Medicine and Dentistry 2 4%
Mathematics 1 2%
Computer Science 1 2%
Other 1 2%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 05 July 2013.
All research outputs
#3,990,505
of 22,669,724 outputs
Outputs from BMC Genomics
#1,649
of 10,614 outputs
Outputs of similar age
#27,603
of 164,330 outputs
Outputs of similar age from BMC Genomics
#10
of 105 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. 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 164,330 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 83% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.