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Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis

Overview of attention for article published in PLOS ONE, April 2012
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Title
Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034928
Pubmed ID
Authors

Natalia B. Mota, Nivaldo A. P. Vasconcelos, Nathalia Lemos, Ana C. Pieretti, Osame Kinouchi, Guillermo A. Cecchi, Mauro Copelli, Sidarta Ribeiro

Abstract

Psychosis has various causes, including mania and schizophrenia. Since the differential diagnosis of psychosis is exclusively based on subjective assessments of oral interviews with patients, an objective quantification of the speech disturbances that characterize mania and schizophrenia is in order. In principle, such quantification could be achieved by the analysis of speech graphs. A graph represents a network with nodes connected by edges; in speech graphs, nodes correspond to words and edges correspond to semantic and grammatical relationships.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 1%
United Kingdom 2 <1%
Argentina 1 <1%
United States 1 <1%
Unknown 313 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 14%
Student > Master 44 14%
Student > Ph. D. Student 42 13%
Student > Bachelor 36 11%
Professor > Associate Professor 17 5%
Other 60 19%
Unknown 77 24%
Readers by discipline Count As %
Psychology 45 14%
Medicine and Dentistry 44 14%
Neuroscience 44 14%
Agricultural and Biological Sciences 23 7%
Computer Science 17 5%
Other 56 17%
Unknown 92 29%