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Emotion word processing: does mood make a difference?

Overview of attention for article published in Frontiers in Psychology, August 2015
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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9 X users

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Title
Emotion word processing: does mood make a difference?
Published in
Frontiers in Psychology, August 2015
DOI 10.3389/fpsyg.2015.01191
Pubmed ID
Authors

Sara C. Sereno, Graham G. Scott, Bo Yao, Elske J. Thaden, Patrick J. O'Donnell

Abstract

Visual emotion word processing has been in the focus of recent psycholinguistic research. In general, emotion words provoke differential responses in comparison to neutral words. However, words are typically processed within a context rather than in isolation. For instance, how does one's inner emotional state influence the comprehension of emotion words? To address this question, the current study examined lexical decision responses to emotionally positive, negative, and neutral words as a function of induced mood as well as their word frequency. Mood was manipulated by exposing participants to different types of music. Participants were randomly assigned to one of three conditions-no music, positive music, and negative music. Participants' moods were assessed during the experiment to confirm the mood induction manipulation. Reaction time results confirmed prior demonstrations of an interaction between a word's emotionality and its frequency. Results also showed a significant interaction between participant mood and word emotionality. However, the pattern of results was not consistent with mood-congruency effects. Although positive and negative mood facilitated responses overall in comparison to the control group, neither positive nor negative mood appeared to additionally facilitate responses to mood-congruent words. Instead, the pattern of findings seemed to be the consequence of attentional effects arising from induced mood. Positive mood broadens attention to a global level, eliminating the category distinction of positive-negative valence but leaving the high-low arousal dimension intact. In contrast, negative mood narrows attention to a local level, enhancing within-category distinctions, in particular, for negative words, resulting in less effective facilitation.

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X Demographics

The data shown below were collected from the profiles of 9 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Germany 1 <1%
Unknown 136 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 19%
Student > Bachelor 18 13%
Student > Master 16 12%
Researcher 12 9%
Student > Postgraduate 6 4%
Other 22 16%
Unknown 38 27%
Readers by discipline Count As %
Psychology 60 43%
Neuroscience 11 8%
Linguistics 8 6%
Agricultural and Biological Sciences 3 2%
Computer Science 3 2%
Other 13 9%
Unknown 41 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 September 2015.
All research outputs
#6,934,196
of 24,620,113 outputs
Outputs from Frontiers in Psychology
#9,971
of 33,209 outputs
Outputs of similar age
#76,411
of 272,280 outputs
Outputs of similar age from Frontiers in Psychology
#184
of 548 outputs
Altmetric has tracked 24,620,113 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 33,209 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has gotten more attention than average, scoring higher than 69% 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 272,280 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 548 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 66% of its contemporaries.