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Vocal emotions influence verbal memory: Neural correlates and interindividual differences

Overview of attention for article published in Cognitive, Affective, & Behavioral Neuroscience, December 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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1 news outlet
blogs
1 blog
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1 X user
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1 peer review site

Citations

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53 Dimensions

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83 Mendeley
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Title
Vocal emotions influence verbal memory: Neural correlates and interindividual differences
Published in
Cognitive, Affective, & Behavioral Neuroscience, December 2012
DOI 10.3758/s13415-012-0132-8
Pubmed ID
Authors

Annett Schirmer, Ce-Belle Chen, April Ching, Ling Tan, Ryan Y. Hong

Abstract

Past research has identified an event-related potential (ERP) marker for vocal emotional encoding and has highlighted vocal-processing differences between male and female listeners. We further investigated this ERP vocal-encoding effect in order to determine whether it predicts voice-related changes in listeners' memory for verbal interaction content. Additionally, we explored whether sex differences in vocal processing would affect such changes. To these ends, we presented participants with a series of neutral words spoken with a neutral or a sad voice. The participants subsequently encountered these words, together with new words, in a visual word recognition test. In addition to making old/new decisions, the participants rated the emotional valence of each test word. During the encoding of spoken words, sad voices elicited a greater P200 in the ERP than did neutral voices. While the P200 effect was unrelated to a subsequent recognition advantage for test words previously heard with a neutral as compared to a sad voice, the P200 did significantly predict differences between these words in a concurrent late positive ERP component. Additionally, the P200 effect predicted voice-related changes in word valence. As compared to words studied with a neutral voice, words studied with a sad voice were rated more negatively, and this rating difference was larger, the larger the P200 encoding effect was. While some of these results were comparable in male and female participants, the latter group showed a stronger P200 encoding effect and qualitatively different ERP responses during word retrieval. Estrogen measurements suggested the possibility that these sex differences have a genetic basis.

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X Demographics

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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 19 23%
Student > Master 12 14%
Student > Bachelor 9 11%
Researcher 8 10%
Student > Doctoral Student 6 7%
Other 13 16%
Unknown 16 19%
Readers by discipline Count As %
Psychology 33 40%
Neuroscience 5 6%
Agricultural and Biological Sciences 4 5%
Nursing and Health Professions 3 4%
Medicine and Dentistry 3 4%
Other 13 16%
Unknown 22 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 21 September 2016.
All research outputs
#1,738,708
of 24,003,070 outputs
Outputs from Cognitive, Affective, & Behavioral Neuroscience
#77
of 974 outputs
Outputs of similar age
#15,850
of 285,228 outputs
Outputs of similar age from Cognitive, Affective, & Behavioral Neuroscience
#1
of 15 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 974 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. 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 285,228 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 94% of its contemporaries.
We're also able to compare this research output to 15 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 93% of its contemporaries.