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Computational Neuropsychiatry – Schizophrenia as a Cognitive Brain Network Disorder

Overview of attention for article published in Frontiers in Psychiatry, March 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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
8 X users
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
123 Mendeley
citeulike
1 CiteULike
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Title
Computational Neuropsychiatry – Schizophrenia as a Cognitive Brain Network Disorder
Published in
Frontiers in Psychiatry, March 2014
DOI 10.3389/fpsyt.2014.00030
Pubmed ID
Authors

Maria R. Dauvermann, Heather C. Whalley, André Schmidt, Graham L. Lee, Liana Romaniuk, Neil Roberts, Eve C. Johnstone, Stephen M. Lawrie, Thomas W. J. Moorhead

Abstract

Computational modeling of functional brain networks in fMRI data has advanced the understanding of higher cognitive function. It is hypothesized that functional networks mediating higher cognitive processes are disrupted in people with schizophrenia. In this article, we review studies that applied measures of functional and effective connectivity to fMRI data during cognitive tasks, in particular working memory fMRI studies. We provide a conceptual summary of the main findings in fMRI data and their relationship with neurotransmitter systems, which are known to be altered in individuals with schizophrenia. We consider possible developments in computational neuropsychiatry, which are likely to further our understanding of how key functional networks are altered in schizophrenia.

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

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 121 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 15%
Student > Bachelor 19 15%
Researcher 18 15%
Student > Ph. D. Student 15 12%
Student > Postgraduate 14 11%
Other 24 20%
Unknown 14 11%
Readers by discipline Count As %
Medicine and Dentistry 25 20%
Psychology 22 18%
Neuroscience 22 18%
Biochemistry, Genetics and Molecular Biology 10 8%
Agricultural and Biological Sciences 5 4%
Other 14 11%
Unknown 25 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 21 January 2024.
All research outputs
#4,606,906
of 25,756,531 outputs
Outputs from Frontiers in Psychiatry
#2,550
of 12,884 outputs
Outputs of similar age
#42,267
of 238,467 outputs
Outputs of similar age from Frontiers in Psychiatry
#9
of 26 outputs
Altmetric has tracked 25,756,531 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,884 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 80% 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 238,467 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 82% of its contemporaries.
We're also able to compare this research output to 26 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 65% of its contemporaries.