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Crossmodal transfer of emotion by music

Overview of attention for article published in Neuroscience Letters, March 2009
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 7,756)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
11 news outlets
blogs
8 blogs
twitter
4 X users
facebook
1 Facebook page
googleplus
1 Google+ user
video
4 YouTube creators

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
287 Mendeley
citeulike
2 CiteULike
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Title
Crossmodal transfer of emotion by music
Published in
Neuroscience Letters, March 2009
DOI 10.1016/j.neulet.2009.03.044
Pubmed ID
Authors

Nidhya Logeswaran, Joydeep Bhattacharya

Abstract

Music is one of the most powerful elicitors of subjective emotion, yet it is not clear whether emotions elicited by music are similar to emotions elicited by visual stimuli. This leads to an open question: can music-elicited emotion be transferred to and/or influence subsequent vision-elicited emotional processing? Here we addressed this question by investigating processing of emotional faces (neutral, happy and sad) primed by short excerpts of musical stimuli (happy and sad). Our behavioural experiment showed a significant effect of musical priming: prior listening to a happy (sad) music enhanced the perceived happiness (sadness) of a face irrespective of facial emotion. Further, this musical priming-induced effect was largest for neutral face. Our electrophysiological experiment showed that such crossmodal priming effects were manifested by event related brain potential components at a very early (within 100 ms post-stimulus) stages of neuronal information processing. Altogether, these results offer new insight into the crossmodal nature of music and its ability to transfer emotion to visual modality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 287 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 2%
Germany 4 1%
Japan 4 1%
United States 4 1%
Portugal 2 <1%
Italy 1 <1%
Belgium 1 <1%
Israel 1 <1%
France 1 <1%
Other 1 <1%
Unknown 262 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 21%
Student > Master 50 17%
Researcher 48 17%
Student > Bachelor 32 11%
Professor 20 7%
Other 50 17%
Unknown 27 9%
Readers by discipline Count As %
Psychology 130 45%
Neuroscience 22 8%
Computer Science 20 7%
Arts and Humanities 19 7%
Agricultural and Biological Sciences 16 6%
Other 45 16%
Unknown 35 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 144. 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 19 February 2023.
All research outputs
#285,946
of 25,373,627 outputs
Outputs from Neuroscience Letters
#19
of 7,756 outputs
Outputs of similar age
#658
of 116,134 outputs
Outputs of similar age from Neuroscience Letters
#1
of 58 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,756 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 99% 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 116,134 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.