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Copy Number Variation in Human Health, Disease, and Evolution

Overview of attention for article published in Annual Review of Genomics & Human Genetics, September 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 383)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
1 X user
patent
50 patents
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
992 Dimensions

Readers on

mendeley
1103 Mendeley
citeulike
13 CiteULike
connotea
1 Connotea
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Title
Copy Number Variation in Human Health, Disease, and Evolution
Published in
Annual Review of Genomics & Human Genetics, September 2009
DOI 10.1146/annurev.genom.9.081307.164217
Pubmed ID
Authors

Feng Zhang, Wenli Gu, Matthew E. Hurles, James R. Lupski

Abstract

Copy number variation (CNV) is a source of genetic diversity in humans. Numerous CNVs are being identified with various genome analysis platforms, including array comparative genomic hybridization (aCGH), single nucleotide polymorphism (SNP) genotyping platforms, and next-generation sequencing. CNV formation occurs by both recombination-based and replication-based mechanisms and de novo locus-specific mutation rates appear much higher for CNVs than for SNPs. By various molecular mechanisms, including gene dosage, gene disruption, gene fusion, position effects, etc., CNVs can cause Mendelian or sporadic traits, or be associated with complex diseases. However, CNV can also represent benign polymorphic variants. CNVs, especially gene duplication and exon shuffling, can be a predominant mechanism driving gene and genome evolution.

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 1,103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 24 2%
United Kingdom 12 1%
Brazil 8 <1%
Netherlands 5 <1%
Spain 3 <1%
Belgium 3 <1%
Germany 3 <1%
Canada 3 <1%
Sweden 2 <1%
Other 23 2%
Unknown 1017 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 266 24%
Researcher 201 18%
Student > Master 144 13%
Student > Bachelor 105 10%
Professor > Associate Professor 48 4%
Other 183 17%
Unknown 156 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 459 42%
Biochemistry, Genetics and Molecular Biology 214 19%
Medicine and Dentistry 121 11%
Computer Science 38 3%
Immunology and Microbiology 13 1%
Other 84 8%
Unknown 174 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 28 March 2024.
All research outputs
#1,355,038
of 25,589,756 outputs
Outputs from Annual Review of Genomics & Human Genetics
#50
of 383 outputs
Outputs of similar age
#3,760
of 102,796 outputs
Outputs of similar age from Annual Review of Genomics & Human Genetics
#5
of 21 outputs
Altmetric has tracked 25,589,756 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 383 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. 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 102,796 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 21 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.