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Recognizing vocal emotions in Mandarin Chinese: A validated database of Chinese vocal emotional stimuli

Overview of attention for article published in Behavior Research Methods, April 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

policy
1 policy source
peer_reviews
1 peer review site

Citations

dimensions_citation
72 Dimensions

Readers on

mendeley
100 Mendeley
Title
Recognizing vocal emotions in Mandarin Chinese: A validated database of Chinese vocal emotional stimuli
Published in
Behavior Research Methods, April 2012
DOI 10.3758/s13428-012-0203-3
Pubmed ID
Authors

Pan Liu, Marc D. Pell

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 2 2%
Mexico 1 1%
Spain 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 23%
Student > Ph. D. Student 20 20%
Researcher 8 8%
Other 6 6%
Student > Bachelor 6 6%
Other 19 19%
Unknown 18 18%
Readers by discipline Count As %
Psychology 30 30%
Linguistics 15 15%
Neuroscience 9 9%
Computer Science 5 5%
Social Sciences 4 4%
Other 16 16%
Unknown 21 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 October 2021.
All research outputs
#7,355,930
of 25,374,647 outputs
Outputs from Behavior Research Methods
#924
of 2,525 outputs
Outputs of similar age
#48,673
of 175,584 outputs
Outputs of similar age from Behavior Research Methods
#5
of 11 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,525 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 62% 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 175,584 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 70% of its contemporaries.
We're also able to compare this research output to 11 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 54% of its contemporaries.