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The Growing Importance of CNVs: New Insights for Detection and Clinical Interpretation

Overview of attention for article published in Frontiers in Genetics, January 2013
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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7 X users
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1 patent

Citations

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54 Dimensions

Readers on

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173 Mendeley
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3 CiteULike
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Title
The Growing Importance of CNVs: New Insights for Detection and Clinical Interpretation
Published in
Frontiers in Genetics, January 2013
DOI 10.3389/fgene.2013.00092
Pubmed ID
Authors

Armand Valsesia, Aurélien Macé, Sébastien Jacquemont, Jacques S. Beckmann, Zoltán Kutalik

Abstract

Differences between genomes can be due to single nucleotide variants, translocations, inversions, and copy number variants (CNVs, gain or loss of DNA). The latter can range from sub-microscopic events to complete chromosomal aneuploidies. Small CNVs are often benign but those larger than 500 kb are strongly associated with morbid consequences such as developmental disorders and cancer. Detecting CNVs within and between populations is essential to better understand the plasticity of our genome and to elucidate its possible contribution to disease. Hence there is a need for better-tailored and more robust tools for the detection and genome-wide analyses of CNVs. While a link between a given CNV and a disease may have often been established, the relative CNV contribution to disease progression and impact on drug response is not necessarily understood. In this review we discuss the progress, challenges, and limitations that occur at different stages of CNV analysis from the detection (using DNA microarrays and next-generation sequencing) and identification of recurrent CNVs to the association with phenotypes. We emphasize the importance of germline CNVs and propose strategies to aid clinicians to better interpret structural variations and assess their clinical implications.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Switzerland 2 1%
Brazil 2 1%
Italy 1 <1%
Australia 1 <1%
Germany 1 <1%
Iceland 1 <1%
Thailand 1 <1%
United States 1 <1%
Other 0 0%
Unknown 160 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 26%
Student > Ph. D. Student 38 22%
Student > Master 21 12%
Student > Bachelor 13 8%
Other 10 6%
Other 27 16%
Unknown 19 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 35%
Biochemistry, Genetics and Molecular Biology 46 27%
Medicine and Dentistry 21 12%
Computer Science 10 6%
Psychology 3 2%
Other 13 8%
Unknown 19 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 14 November 2021.
All research outputs
#5,488,222
of 25,918,104 outputs
Outputs from Frontiers in Genetics
#1,699
of 13,783 outputs
Outputs of similar age
#53,875
of 294,200 outputs
Outputs of similar age from Frontiers in Genetics
#60
of 318 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,783 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 87% 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 294,200 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 81% of its contemporaries.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.