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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
4 X users
patent
1 patent

Readers on

mendeley
44 Mendeley
citeulike
1 CiteULike
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Article details
Title
Transcriptome outlier analysis implicates schizophrenia susceptibility genes and enriches putatively functional rare genetic variants
Published in
Human Molecular Genetics, May 2015
DOI 10.1093/hmg/ddv199
Pubmed ID
Authors
Abstract

We searched a gene expression dataset comprised of 634 schizophrenia (SZ) cases and 713 controls for expression outliers (i.e., extreme tails of the distribution of transcript expression values) with SZ cases overrepresented compared to controls. These outlier genes were enriched for brain expression and for genes known to be associated with neurodevelopmental disorders. SZ cases showed higher outlier burden (i.e., total outlier events per subject) than controls for genes within copy number variants (CNVs) associated with SZ or neurodevelopmental disorders. Outlier genes were enriched for CNVs and for rare putative regulatory variants, but this only explained a small proportion of the outlier subjects, highlighting the underlying presence of additional genetic and potentially, epigenetic mechanisms.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 8 18%
Student > Ph. D. Student 6 14%
Student > Bachelor 4 9%
Student > Master 3 7%
Other 2 5%
Other 6 14%
Unknown 15 34%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 8 18%
Agricultural and Biological Sciences 6 14%
Neuroscience 5 11%
Biochemistry, Genetics and Molecular Biology 4 9%
Psychology 2 5%
Other 1 2%
Unknown 18 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 May 2021.
All research outputs
#6,146,692
of 24,679,965 outputs
Outputs from Human Molecular Genetics
#3,089
of 8,227 outputs
Outputs of similar age
#66,896
of 271,409 outputs
Outputs of similar age from Human Molecular Genetics
#47
of 124 outputs
Altmetric has tracked 24,679,965 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,227 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 62% 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 271,409 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 75% of its contemporaries.
We're also able to compare this research output to 124 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 62% of its contemporaries.