↓ Skip to main content

Emotional expression in music: contribution, linearity, and additivity of primary musical cues

Overview of attention for article published in Frontiers in Psychology, January 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
11 X users
googleplus
1 Google+ user
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
100 Dimensions

Readers on

mendeley
203 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Emotional expression in music: contribution, linearity, and additivity of primary musical cues
Published in
Frontiers in Psychology, January 2013
DOI 10.3389/fpsyg.2013.00487
Pubmed ID
Authors

Tuomas Eerola, Anders Friberg, Roberto Bresin

Abstract

The aim of this study is to manipulate musical cues systematically to determine the aspects of music that contribute to emotional expression, and whether these cues operate in additive or interactive fashion, and whether the cue levels can be characterized as linear or non-linear. An optimized factorial design was used with six primary musical cues (mode, tempo, dynamics, articulation, timbre, and register) across four different music examples. Listeners rated 200 musical examples according to four perceived emotional characters (happy, sad, peaceful, and scary). The results exhibited robust effects for all cues and the ranked importance of these was established by multiple regression. The most important cue was mode followed by tempo, register, dynamics, articulation, and timbre, although the ranking varied across the emotions. The second main result suggested that most cue levels contributed to the emotions in a linear fashion, explaining 77-89% of variance in ratings. Quadratic encoding of cues did lead to minor but significant increases of the models (0-8%). Finally, the interactions between the cues were non-existent suggesting that the cues operate mostly in an additive fashion, corroborating recent findings on emotional expression in music (Juslin and Lindström, 2010).

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 2 <1%
United Kingdom 2 <1%
Germany 1 <1%
Sweden 1 <1%
France 1 <1%
United States 1 <1%
Philippines 1 <1%
Unknown 194 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 19%
Student > Master 31 15%
Student > Bachelor 29 14%
Researcher 25 12%
Professor 13 6%
Other 27 13%
Unknown 39 19%
Readers by discipline Count As %
Psychology 69 34%
Arts and Humanities 33 16%
Computer Science 17 8%
Neuroscience 13 6%
Social Sciences 9 4%
Other 20 10%
Unknown 42 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 20 May 2023.
All research outputs
#1,112,181
of 23,801,276 outputs
Outputs from Frontiers in Psychology
#2,266
of 31,742 outputs
Outputs of similar age
#9,810
of 285,744 outputs
Outputs of similar age from Frontiers in Psychology
#120
of 968 outputs
Altmetric has tracked 23,801,276 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,742 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done particularly well, scoring higher than 92% 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 285,744 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 96% of its contemporaries.
We're also able to compare this research output to 968 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.