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Network Diffusion-Based Prioritization of Autism Risk Genes Identifies Significantly Connected Gene Modules

Overview of attention for article published in Frontiers in Genetics, September 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
7 news outlets
blogs
3 blogs
twitter
12 X users
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2 Google+ users

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48 Mendeley
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Title
Network Diffusion-Based Prioritization of Autism Risk Genes Identifies Significantly Connected Gene Modules
Published in
Frontiers in Genetics, September 2017
DOI 10.3389/fgene.2017.00129
Pubmed ID
Authors

Ettore Mosca, Matteo Bersanelli, Matteo Gnocchi, Marco Moscatelli, Gastone Castellani, Luciano Milanesi, Alessandra Mezzelani

Abstract

Autism spectrum disorder (ASD) is marked by a strong genetic heterogeneity, which is underlined by the low overlap between ASD risk gene lists proposed in different studies. In this context, molecular networks can be used to analyze the results of several genome-wide studies in order to underline those network regions harboring genetic variations associated with ASD, the so-called "disease modules." In this work, we used a recent network diffusion-based approach to jointly analyze multiple ASD risk gene lists. We defined genome-scale prioritizations of human genes in relation to ASD genes from multiple studies, found significantly connected gene modules associated with ASD and predicted genes functionally related to ASD risk genes. Most of them play a role in synapsis and neuronal development and function; many are related to syndromes that can be in comorbidity with ASD and the remaining are involved in epigenetics, cell cycle, cell adhesion and cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Researcher 8 17%
Student > Master 7 15%
Student > Bachelor 5 10%
Professor > Associate Professor 4 8%
Other 9 19%
Unknown 5 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 19%
Computer Science 6 13%
Psychology 5 10%
Neuroscience 5 10%
Agricultural and Biological Sciences 4 8%
Other 9 19%
Unknown 10 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 87. 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 08 April 2018.
All research outputs
#417,764
of 23,003,906 outputs
Outputs from Frontiers in Genetics
#54
of 12,064 outputs
Outputs of similar age
#9,864
of 320,342 outputs
Outputs of similar age from Frontiers in Genetics
#1
of 70 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,064 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 99% 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 320,342 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 70 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.