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Genomic insights into the overlap between psychiatric disorders: implications for research and clinical practice

Overview of attention for article published in Genome Medicine, April 2014
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
3 news outlets
twitter
10 X users

Citations

dimensions_citation
201 Dimensions

Readers on

mendeley
324 Mendeley
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Title
Genomic insights into the overlap between psychiatric disorders: implications for research and clinical practice
Published in
Genome Medicine, April 2014
DOI 10.1186/gm546
Pubmed ID
Authors

Joanne L Doherty, Michael J Owen

Abstract

Psychiatric disorders such as schizophrenia, bipolar disorder, major depressive disorder, attention-deficit/hyperactivity disorder and autism spectrum disorder are common and result in significant morbidity and mortality. Although currently classified into distinct disorder categories, they show clinical overlap and familial co-aggregation, and share genetic risk factors. Recent advances in psychiatric genomics have provided insight into the potential mechanisms underlying the overlap between these disorders, implicating genes involved in neurodevelopment, synaptic plasticity, learning and memory. Furthermore, evidence from copy number variant, exome sequencing and genome-wide association studies supports a gradient of neurodevelopmental psychopathology indexed by mutational load or mutational severity, and cognitive impairment. These findings have important implications for psychiatric research, highlighting the need for new approaches to stratifying patients for research. They also point the way for work aiming to advance our understanding of the pathways from genotype to clinical phenotype, which will be required in order to inform new classification systems and to develop novel therapeutic strategies.

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 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
United States 2 <1%
Sweden 2 <1%
Korea, Republic of 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 310 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 59 18%
Student > Master 50 15%
Student > Ph. D. Student 49 15%
Student > Bachelor 36 11%
Other 20 6%
Other 67 21%
Unknown 43 13%
Readers by discipline Count As %
Medicine and Dentistry 63 19%
Agricultural and Biological Sciences 55 17%
Psychology 45 14%
Neuroscience 45 14%
Biochemistry, Genetics and Molecular Biology 26 8%
Other 31 10%
Unknown 59 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 07 January 2024.
All research outputs
#1,370,698
of 25,654,566 outputs
Outputs from Genome Medicine
#283
of 1,605 outputs
Outputs of similar age
#13,209
of 242,658 outputs
Outputs of similar age from Genome Medicine
#3
of 23 outputs
Altmetric has tracked 25,654,566 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,605 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 82% 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 242,658 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 94% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.