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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bridging disparate symptoms of schizophrenia: a triple network dysfunction theory
|
|---|---|
| Published in |
Frontiers in Behavioral Neuroscience, May 2014
|
| DOI | 10.3389/fnbeh.2014.00171 |
| Pubmed ID | |
| Authors |
Tereza Nekovarova, Iveta Fajnerova, Jiri Horacek, Filip Spaniel |
| Abstract |
Schizophrenia is a complex neuropsychiatric disorder with variable symptomatology, traditionally divided into positive and negative symptoms, and cognitive deficits. However, the etiology of this disorder has yet to be fully understood. Recent findings suggest that alteration of the basic sense of self-awareness may be an essential distortion of schizophrenia spectrum disorders. In addition, extensive research of social and mentalizing abilities has stressed the role of distortion of social skills in schizophrenia.This article aims to propose and support a concept of a triple brain network model of the dysfunctional switching between default mode and central executive network (CEN) related to the aberrant activity of the salience network. This model could represent a unitary mechanism of a wide array of symptom domains present in schizophrenia including the deficit of self (self-awareness and self-representation) and theory of mind (ToM) dysfunctions along with the traditional positive, negative and cognitive domains. We review previous studies which document the dysfunctions of self and ToM in schizophrenia together with neuroimaging data that support the triple brain network model as a common neuronal substrate of this dysfunction. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 13% |
| Brazil | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 25% |
| Members of the public | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | <1% |
| Czechia | 1 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 203 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 22% |
| Researcher | 32 | 15% |
| Student > Master | 24 | 11% |
| Student > Bachelor | 22 | 11% |
| Student > Doctoral Student | 16 | 8% |
| Other | 39 | 19% |
| Unknown | 31 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 57 | 27% |
| Neuroscience | 43 | 21% |
| Agricultural and Biological Sciences | 17 | 8% |
| Medicine and Dentistry | 17 | 8% |
| Engineering | 6 | 3% |
| Other | 18 | 9% |
| Unknown | 51 | 24% |
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 08 April 2021.
All research outputs
#3,891,475
of 23,577,761 outputs
Outputs from Frontiers in Behavioral Neuroscience
#660
of 3,277 outputs
Outputs of similar age
#37,874
of 228,392 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#17
of 77 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,277 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done well, scoring higher than 79% 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 228,392 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 83% 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 well, scoring higher than 77% of its contemporaries.