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Prediction of psychosis in clinical high-risk patients by the Schizotypal Personality Questionnaire. Results of the EPOS project

Overview of attention for article published in European Psychiatry, April 2020
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Title
Prediction of psychosis in clinical high-risk patients by the Schizotypal Personality Questionnaire. Results of the EPOS project
Published in
European Psychiatry, April 2020
DOI 10.1016/j.eurpsy.2013.01.001
Pubmed ID
Authors

R.K.R. Salokangas, P. Dingemans, M. Heinimaa, T. Svirskis, S. Luutonen, J. Hietala, S. Ruhrmann, G. Juckel, H. Graf von Reventlow, D. Linszen, M. Birchwood, P. Patterson, F. Schultze-Lutter, J. Klosterkötter, EPOS group

Abstract

Schizotypal features indicate proneness to psychosis in the general population. It is also possible that they increase transition to psychosis (TTP) among clinical high-risk patients (CHR). Our aim was to investigate whether schizotypal features predict TTP in CHR patients.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Brazil 1 <1%
Australia 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 96 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Researcher 10 10%
Student > Master 10 10%
Student > Doctoral Student 10 10%
Student > Bachelor 9 9%
Other 26 25%
Unknown 15 15%
Readers by discipline Count As %
Psychology 42 41%
Medicine and Dentistry 20 20%
Neuroscience 3 3%
Economics, Econometrics and Finance 1 <1%
Earth and Planetary Sciences 1 <1%
Other 9 9%
Unknown 26 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 March 2013.
All research outputs
#15,266,089
of 22,701,287 outputs
Outputs from European Psychiatry
#1,300
of 2,031 outputs
Outputs of similar age
#231,858
of 373,658 outputs
Outputs of similar age from European Psychiatry
#761
of 1,122 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,031 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 373,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,122 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.