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Copy number variability in Parkinson’s disease: assembling the puzzle through a systems biology approach

Overview of attention for article published in Human Genetics, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

news
1 news outlet

Citations

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48 Dimensions

Readers on

mendeley
90 Mendeley
Title
Copy number variability in Parkinson’s disease: assembling the puzzle through a systems biology approach
Published in
Human Genetics, November 2016
DOI 10.1007/s00439-016-1749-4
Pubmed ID
Authors

Valentina La Cognata, Giovanna Morello, Velia D’Agata, Sebastiano Cavallaro

Abstract

Parkinson's disease (PD), the second most common progressive neurodegenerative disorder of aging, was long believed to be a non-genetic sporadic origin syndrome. The proof that several genetic loci are responsible for rare Mendelian forms has represented a revolutionary breakthrough, enabling to reveal molecular mechanisms underlying this debilitating still incurable condition. While single nucleotide polymorphisms (SNPs) and small indels constitute the most commonly investigated DNA variations accounting for only a limited number of PD cases, larger genomic molecular rearrangements have emerged as significant PD-causing mutations, including submicroscopic Copy Number Variations (CNVs). CNVs constitute a prevalent source of genomic variations and substantially participate in each individual's genomic makeup and phenotypic outcome. However, the majority of genetic studies have focused their attention on single candidate-gene mutations or on common variants reaching a significant statistical level of acceptance. This gene-centric approach is insufficient to uncover the genetic background of polygenic multifactorial disorders like PD, and potentially masks rare individual CNVs that all together might contribute to disease development or progression. In this review, we will discuss literature and bioinformatic data describing the involvement of CNVs on PD pathobiology. We will analyze the most frequent copy number changes in familiar PD genes and provide a "systems biology" overview of rare individual rearrangements that could functionally act on commonly deregulated molecular pathways. Assessing the global genome-wide burden of CNVs in PD patients may reveal new disease-related molecular mechanisms, and open the window to a new possible genetic scenario in the unsolved PD puzzle.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 89 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 26%
Researcher 11 12%
Student > Bachelor 10 11%
Student > Master 9 10%
Student > Postgraduate 6 7%
Other 9 10%
Unknown 22 24%
Readers by discipline Count As %
Neuroscience 16 18%
Biochemistry, Genetics and Molecular Biology 14 16%
Agricultural and Biological Sciences 13 14%
Medicine and Dentistry 5 6%
Computer Science 3 3%
Other 12 13%
Unknown 27 30%
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 09 December 2016.
All research outputs
#4,196,781
of 22,912,409 outputs
Outputs from Human Genetics
#404
of 2,956 outputs
Outputs of similar age
#82,011
of 416,661 outputs
Outputs of similar age from Human Genetics
#6
of 13 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,956 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 85% 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 416,661 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 78% of its contemporaries.
We're also able to compare this research output to 13 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 53% of its contemporaries.