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[Most frequent themes in Editorials of Vertex journal (1990-2019) analyzed by graph theory].

Authors: Daniel, Matusevich; Patricia, Janet Caro; Teresa Claudia, Braicovich; Aldo, Calzolari;

[Most frequent themes in Editorials of Vertex journal (1990-2019) analyzed by graph theory].

Abstract

The analysis of Editorials is a little explored topic, which can facilitate the understanding of historical processes and changes in Psychiatry. In the case of de Vertex Revista Argentina de Psiquiatría, the Editorials were written by the same person for 30 years. The most frequently used thematic areas were studied, using graph theory, to characterize the orientation of the editorial lines. This analysis was complemented with semi-structured interviews with the Editor.The most significant words of the Editorials were determined and analyzed through a system of graph theory, divided by lustrums.The thematic areas of the journal were concentrated in five main themes that were reiterated in each lustrum: Ethics, History, Mental Health, Psychiatry and, in the last two, Politics. The editorials showed different degrees of complexity, being those of the first 15 years simpler than the last ones. The recurrence tendencies of the thematic areas of the Editorials were related to expressions arising from the interviews.The analysis with graph theory has made it possible to visualize aspects of the de Vertex Revista Argentina de Psiquiatría Editorials, their degree of thematic complexity and how some themes were reiterated over and over again throughout the 30 years of the journal.

Keywords

Psychiatry, Mental Health, Writing, Argentina, Humans

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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