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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How to tell a happy from an unhappy schizotype: personality factors and mental health outcomes in individuals with psychotic experiences
|
|---|---|
| Published in |
Revista Brasileira de Psiquiatria, November 2016
|
| DOI | 10.1590/1516-4446-2016-1944 |
| Pubmed ID | |
| Authors |
Letícia O. Alminhana, Miguel Farias, Gordon Claridge, Claude R. Cloninger, Alexander Moreira-Almeida |
| Abstract |
It is unclear why some individuals reporting psychotic experiences have balanced lives while others go on to develop mental health problems. The objective of this study was to test if the personality traits of harm avoidance, self-directedness, and self-transcendence can be used as criteria to differentiate healthy from unhealthy schizotypal individuals. We interviewed 115 participants who reported a high frequency of psychotic experiences. The instruments used were the Temperament and Character Inventory (140), Structured Clinical Interview for DSM-IV, and the Oxford-Liverpool Inventory of Feelings and Experiences. Harm avoidance predicted cognitive disorganization (β = 0.319; t = 2.94), while novelty seeking predicted bipolar disorder (β = 0.136, Exp [β] = 1.146) and impulsive non-conformity (β = 0.322; t = 3.55). Self-directedness predicted an overall decrease in schizotypy, most of all in cognitive disorganization (β = -0.356; t = -2.95) and in impulsive non-conformity (β = -0.313; t = -2.83). Finally, self-transcendence predicted unusual experiences (β = 0.256; t = 2.32). Personality features are important criteria to distinguish between pathology and mental health in individuals presenting high levels of anomalous experiences (AEs). While self-directedness is a protective factor, both harm avoidance and novelty seeking were predictors of negative mental health outcomes. We suggest that the impact of AEs on mental health is moderated by personality factors. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 18% |
| Student > Master | 12 | 15% |
| Student > Bachelor | 10 | 13% |
| Student > Doctoral Student | 5 | 6% |
| Student > Postgraduate | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 19 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 34 | 43% |
| Nursing and Health Professions | 5 | 6% |
| Medicine and Dentistry | 4 | 5% |
| Social Sciences | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 8 | 10% |
| Unknown | 23 | 29% |
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 09 June 2023.
All research outputs
#6,825,682
of 25,595,500 outputs
Outputs from Revista Brasileira de Psiquiatria
#218
of 904 outputs
Outputs of similar age
#111,922
of 416,659 outputs
Outputs of similar age from Revista Brasileira de Psiquiatria
#5
of 17 outputs
Altmetric has tracked 25,595,500 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 904 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 75% 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 416,659 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 72% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.