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Neurodevelopmental and neuropsychiatric disorders represent an interconnected molecular system

Overview of attention for article published in Molecular Psychiatry, February 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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog
twitter
10 X users
googleplus
1 Google+ user

Citations

dimensions_citation
188 Dimensions

Readers on

mendeley
397 Mendeley
citeulike
1 CiteULike
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Title
Neurodevelopmental and neuropsychiatric disorders represent an interconnected molecular system
Published in
Molecular Psychiatry, February 2013
DOI 10.1038/mp.2013.16
Pubmed ID
Authors

A S Cristino, S M Williams, Z Hawi, J-Y An, M A Bellgrove, C E Schwartz, L da F Costa, C Claudianos

Abstract

Many putative genetic factors that confer risk to neurodevelopmental disorders such as autism spectrum disorders (ASDs) and X-linked intellectual disability (XLID), and to neuropsychiatric disorders including attention deficit hyperactivity disorder (ADHD) and schizophrenia (SZ) have been identified in individuals from diverse human populations. Although there is significant aetiological heterogeneity within and between these conditions, recent data show that genetic factors contribute to their comorbidity. Many studies have identified candidate gene associations for these mental health disorders, albeit this is often done in a piecemeal fashion with little regard to the inherent molecular complexity. Here, we sought to abstract relationships from our knowledge of systems level biology to help understand the unique and common genetic drivers of these conditions. We undertook a global and systematic approach to build and integrate available data in gene networks associated with ASDs, XLID, ADHD and SZ. Complex network concepts and computational methods were used to investigate whether candidate genes associated with these conditions were related through mechanisms of gene regulation, functional protein-protein interactions, transcription factor (TF) and microRNA (miRNA) binding sites. Although our analyses show that genetic variations associated with the four disorders can occur in the same molecular pathways and functional domains, including synaptic transmission, there are patterns of variation that define significant differences between disorders. Of particular interest is DNA variations located in intergenic regions that comprise regulatory sites for TFs or miRNA. Our approach provides a hypothetical framework, which will help discovery and analysis of candidate genes associated with neurodevelopmental and neuropsychiatric disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 397 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 1%
United States 3 <1%
Netherlands 1 <1%
Italy 1 <1%
Sweden 1 <1%
Portugal 1 <1%
United Kingdom 1 <1%
South Africa 1 <1%
Unknown 384 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 79 20%
Researcher 67 17%
Student > Master 58 15%
Student > Bachelor 40 10%
Professor 21 5%
Other 68 17%
Unknown 64 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 20%
Neuroscience 63 16%
Medicine and Dentistry 58 15%
Biochemistry, Genetics and Molecular Biology 57 14%
Psychology 28 7%
Other 32 8%
Unknown 78 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 20 August 2014.
All research outputs
#2,118,080
of 26,017,215 outputs
Outputs from Molecular Psychiatry
#1,589
of 4,696 outputs
Outputs of similar age
#16,646
of 209,237 outputs
Outputs of similar age from Molecular Psychiatry
#20
of 52 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,696 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.3. This one has gotten more attention than average, scoring higher than 65% 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 209,237 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 91% of its contemporaries.
We're also able to compare this research output to 52 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 61% of its contemporaries.