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A framework to identify contributing genes in patients with Phelan-McDermid syndrome

Overview of attention for article published in npj Genomic Medicine, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
16 X users
facebook
5 Facebook pages
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1 clinical guideline source

Readers on

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91 Mendeley
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Article details
Title
A framework to identify contributing genes in patients with Phelan-McDermid syndrome
Published in
npj Genomic Medicine, October 2017
DOI 10.1038/s41525-017-0035-2
Pubmed ID
Authors
Abstract

Phelan-McDermid syndrome (PMS) is characterized by a variety of clinical symptoms with heterogeneous degrees of severity, including intellectual disability (ID), absent or delayed speech, and autism spectrum disorders (ASD). It results from a deletion of the distal part of chromosome 22q13 that in most cases includes the SHANK3 gene. SHANK3 is considered a major gene for PMS, but the factors that modulate the severity of the syndrome remain largely unknown. In this study, we investigated 85 patients with different 22q13 rearrangements (78 deletions and 7 duplications). We first explored the clinical features associated with PMS, and provide evidence for frequent corpus callosum abnormalities in 28% of 35 patients with brain imaging data. We then mapped several candidate genomic regions at the 22q13 region associated with high risk of clinical features, and suggest a second locus at 22q13 associated with absence of speech. Finally, in some cases, we identified additional clinically relevant copy-number variants (CNVs) at loci associated with ASD, such as 16p11.2 and 15q11q13, which could modulate the severity of the syndrome. We also report an inherited SHANK3 deletion transmitted to five affected daughters by a mother without ID nor ASD, suggesting that some individuals could compensate for such mutations. In summary, we shed light on the genotype-phenotype relationship of patients with PMS, a step towards the identification of compensatory mechanisms for a better prognosis and possibly treatments of patients with neurodevelopmental disorders.

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X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 18%
Researcher 16 18%
Student > Bachelor 9 10%
Student > Master 9 10%
Professor > Associate Professor 6 7%
Other 17 19%
Unknown 18 20%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 16 18%
Biochemistry, Genetics and Molecular Biology 13 14%
Agricultural and Biological Sciences 10 11%
Neuroscience 9 10%
Psychology 8 9%
Other 8 9%
Unknown 27 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 April 2023.
All research outputs
#3,610,439
of 34,492,055 outputs
Outputs from npj Genomic Medicine
#153
of 541 outputs
Outputs of similar age
#51,013
of 372,063 outputs
Outputs of similar age from npj Genomic Medicine
#5
of 8 outputs
Altmetric has tracked 34,492,055 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one has gotten more attention than average, scoring higher than 71% 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 372,063 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 86% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.