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Mapping a shared genetic basis for neurodevelopmental disorders

Overview of attention for article published in Genome Medicine, December 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

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8 X users

Citations

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32 Dimensions

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56 Mendeley
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Title
Mapping a shared genetic basis for neurodevelopmental disorders
Published in
Genome Medicine, December 2017
DOI 10.1186/s13073-017-0503-4
Pubmed ID
Authors

Matthew Jensen, Santhosh Girirajan

Abstract

Distinct neurodevelopmental disorders have a common genetic etiology that explains the high degree of comorbidity among these disorders. A recent study sought to identify copy number variants across five neurodevelopmental disorders, and detected an enrichment for chromosome 9p24.3 duplication encompassing DOCK8 and KANK1 in affected individuals. Such large-scale studies will help uncover additional causative and modifier loci within common pathways, which will enable the development of therapeutic targets for the treatment of multiple disorders.See related research 10.1186/s13073-017-0494-1.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Student > Doctoral Student 6 11%
Other 5 9%
Researcher 5 9%
Student > Postgraduate 5 9%
Other 13 23%
Unknown 13 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 25%
Medicine and Dentistry 7 13%
Agricultural and Biological Sciences 6 11%
Neuroscience 6 11%
Psychology 4 7%
Other 6 11%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 November 2018.
All research outputs
#7,368,016
of 25,562,515 outputs
Outputs from Genome Medicine
#1,173
of 1,596 outputs
Outputs of similar age
#134,350
of 444,810 outputs
Outputs of similar age from Genome Medicine
#26
of 32 outputs
Altmetric has tracked 25,562,515 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,596 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 444,810 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.