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Validation of natural language processing methods capturing semantic incoherence in the speech of patients with non-affective psychosis

Overview of attention for article published in Frontiers in Psychiatry, July 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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4 Dimensions

Readers on

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12 Mendeley
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Title
Validation of natural language processing methods capturing semantic incoherence in the speech of patients with non-affective psychosis
Published in
Frontiers in Psychiatry, July 2023
DOI 10.3389/fpsyt.2023.1208856
Pubmed ID
Authors

Sandra Anna Just, Anna-Lena Bröcker, Galina Ryazanskaya, Ivan Nenchev, Maria Schneider, Felix Bermpohl, Andreas Heinz, Christiane Montag

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 17%
Student > Doctoral Student 2 17%
Unknown 8 67%
Readers by discipline Count As %
Medicine and Dentistry 2 17%
Neuroscience 2 17%
Social Sciences 1 8%
Unknown 7 58%
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 25 July 2023.
All research outputs
#19,627,490
of 24,138,997 outputs
Outputs from Frontiers in Psychiatry
#7,645
of 11,378 outputs
Outputs of similar age
#113,138
of 159,185 outputs
Outputs of similar age from Frontiers in Psychiatry
#120
of 310 outputs
Altmetric has tracked 24,138,997 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,378 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 23rd percentile – i.e., 23% 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 159,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 310 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.