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Dove Medical Press

Connectomics in psychiatric research: advances and applications

Overview of attention for article published in Neuropsychiatric Disease and Treatment, October 2015
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
13 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

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32 Dimensions

Readers on

mendeley
113 Mendeley
Title
Connectomics in psychiatric research: advances and applications
Published in
Neuropsychiatric Disease and Treatment, October 2015
DOI 10.2147/ndt.s63470
Pubmed ID
Authors

Miao Cao, Zhijiang Wang, Yong He

Abstract

Psychiatric disorders disturb higher cognitive functions and severely compromise human health. However, the pathophysiological mechanisms underlying psychiatric disorders are very complex, and understanding these mechanisms remains a great challenge. Currently, many psychiatric disorders are hypothesized to reflect "faulty wiring" or aberrant connectivity in the brains. Imaging connectomics is arising as a promising methodological framework for describing the structural and functional connectivity patterns of the human brain. Recently, alterations of brain networks in the connectome have been reported in various psychiatric disorders, and these alterations may provide biomarkers for disease diagnosis and prognosis for the evaluation of treatment efficacy. Here, we summarize the current achievements in both the structural and functional connectomes in several major psychiatric disorders (eg, schizophrenia, attention-deficit/hyperactivity disorder, and autism) based on multi-modal neuroimaging data. We highlight the current progress in the identification of these alterations and the hypotheses concerning the aberrant brain networks in individuals with psychiatric disorders and discuss the research questions that might contribute to a further mechanistic understanding of these disorders from a connectomic perspective.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Portugal 1 <1%
Spain 1 <1%
Unknown 109 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 20%
Researcher 19 17%
Student > Master 18 16%
Student > Doctoral Student 8 7%
Student > Bachelor 6 5%
Other 18 16%
Unknown 21 19%
Readers by discipline Count As %
Neuroscience 23 20%
Psychology 20 18%
Medicine and Dentistry 20 18%
Agricultural and Biological Sciences 8 7%
Computer Science 4 4%
Other 13 12%
Unknown 25 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 01 April 2023.
All research outputs
#3,113,319
of 25,373,627 outputs
Outputs from Neuropsychiatric Disease and Treatment
#419
of 3,132 outputs
Outputs of similar age
#40,624
of 286,876 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#7
of 77 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 86% 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 286,876 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 85% of its contemporaries.
We're also able to compare this research output to 77 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 90% of its contemporaries.