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Trauma, dream, and psychic change in psychoanalyses: a dialog between psychoanalysis and the neurosciences

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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15 X users
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1 Facebook page

Citations

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39 Dimensions

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83 Mendeley
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1 CiteULike
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Title
Trauma, dream, and psychic change in psychoanalyses: a dialog between psychoanalysis and the neurosciences
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00877
Pubmed ID
Authors

Tamara Fischmann, Michael O. Russ, Marianne Leuzinger-Bohleber

Abstract

To many psychoanalysts dreams are a central source of knowledge of the unconscious-the specific research object of psychoanalysis. The dialog with the neurosciences, devoted to the testing of hypotheses on human behavior and neurophysiology with objective methods, has added to psychoanalytic conceptualizations on emotion, memory, sleep and dreams, conflict and trauma. To psychoanalysts as well as neuroscientists, the neurological basis of psychic functioning, particularly concerning trauma, is of special interest. In this article, an attempt is made to bridge the gap between psychoanalytic findings and neuroscientific findings on trauma. We then attempt to merge both approaches in one experimental study devoted to the investigation of the neurophysiological changes (fMRI) associated with psychoanalytic treatment in chronically depressed patients. We also report on an attempt to quantify psychoanalysis-induced transformation in the manifest content of dreams. To do so, we used two independent methods. First, dreams reported during the cure of chronic depressed analysands were assessed by the treating psychoanalyst. Second, dreams reported in an experimental context were analyzed by an independent evaluator using a standardized method to quantify changes in dream content (Moser method). Single cases are presented. Preliminary results suggest that psychoanalysis-induced transformation can be assessed in an objective way.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Student > Bachelor 12 14%
Student > Master 10 12%
Student > Doctoral Student 6 7%
Professor > Associate Professor 6 7%
Other 19 23%
Unknown 16 19%
Readers by discipline Count As %
Psychology 43 52%
Medicine and Dentistry 8 10%
Neuroscience 3 4%
Environmental Science 2 2%
Social Sciences 2 2%
Other 7 8%
Unknown 18 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 March 2015.
All research outputs
#3,949,486
of 24,503,376 outputs
Outputs from Frontiers in Human Neuroscience
#1,776
of 7,489 outputs
Outputs of similar age
#39,730
of 290,244 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#266
of 860 outputs
Altmetric has tracked 24,503,376 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 76% 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 290,244 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 860 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.