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Computational Psychometrics Meets Hollywood: The Complexity in Emotional Storytelling

Overview of attention for article published in Frontiers in Psychology, November 2016
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Title
Computational Psychometrics Meets Hollywood: The Complexity in Emotional Storytelling
Published in
Frontiers in Psychology, November 2016
DOI 10.3389/fpsyg.2016.01753
Pubmed ID
Authors

Pietro Cipresso, Giuseppe Riva

Abstract

Expressions of emotions are pervasive in media, especially in movies. In this article, we focus on the emotional relationships of movie characters in narrative thought and emotional storytelling. Several studies examine emotion elicitation through movies, but there is a gap in scientific literature and in the practice to quantitatively consider emotions among the characters of a movie story, which in turn provide the basis of spectator emotion elicitation. Some might argument that the ultimate purpose of a movie is to elicit emotions in the viewers; however, we are highlighting that the path to emotional stimulation entails emotions among the characters composing a narrative and manipulating to enable the effective elicitation of viewers' emotions. Here we provided and tested an effective quantitative method for analyzing these relationships in emotional networks, which allow for a clear understanding of the effects of story changes on movie perceptions and pleasantness.

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The data shown below were collected from the profiles of 3 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Student > Doctoral Student 4 19%
Researcher 4 19%
Professor 1 5%
Lecturer 1 5%
Other 2 10%
Unknown 4 19%
Readers by discipline Count As %
Psychology 6 29%
Computer Science 3 14%
Arts and Humanities 2 10%
Agricultural and Biological Sciences 1 5%
Social Sciences 1 5%
Other 2 10%
Unknown 6 29%
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 10 November 2016.
All research outputs
#17,825,154
of 22,899,952 outputs
Outputs from Frontiers in Psychology
#20,603
of 30,029 outputs
Outputs of similar age
#223,585
of 312,900 outputs
Outputs of similar age from Frontiers in Psychology
#332
of 437 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,029 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 25th percentile – i.e., 25% 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 312,900 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 437 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.