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Genome-wide patterns of copy number variation in the diversified chicken genomes using next-generation sequencing

Overview of attention for article published in BMC Genomics, November 2014
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Title
Genome-wide patterns of copy number variation in the diversified chicken genomes using next-generation sequencing
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-962
Pubmed ID
Authors

Guoqiang Yi, Lujiang Qu, Jianfeng Liu, Yiyuan Yan, Guiyun Xu, Ning Yang

Abstract

Copy number variation (CNV) is important and widespread in the genome, and is a major cause of disease and phenotypic diversity. Herein, we performed a genome-wide CNV analysis in 12 diversified chicken genomes based on whole genome sequencing.

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

Geographical breakdown

Country Count As %
India 1 2%
Sweden 1 2%
Brazil 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Researcher 12 21%
Student > Master 11 19%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Other 3 5%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 56%
Biochemistry, Genetics and Molecular Biology 10 18%
Veterinary Science and Veterinary Medicine 1 2%
Business, Management and Accounting 1 2%
Arts and Humanities 1 2%
Other 2 4%
Unknown 10 18%
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 26 November 2014.
All research outputs
#17,731,162
of 22,769,322 outputs
Outputs from BMC Genomics
#7,551
of 10,639 outputs
Outputs of similar age
#177,336
of 262,838 outputs
Outputs of similar age from BMC Genomics
#193
of 278 outputs
Altmetric has tracked 22,769,322 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 10,639 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 262,838 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 278 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.