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Matching Faces with Emotional Expressions

Overview of attention for article published in Frontiers in Psychology, January 2011
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Title
Matching Faces with Emotional Expressions
Published in
Frontiers in Psychology, January 2011
DOI 10.3389/fpsyg.2011.00206
Pubmed ID
Authors

Wenfeng Chen, Karen Lander, Chang Hong Liu

Abstract

There is some evidence that faces with a happy expression are recognized better than faces with other expressions. However, little is known about whether this happy-face advantage also applies to perceptual face matching, and whether similar differences exist among other expressions. Using a sequential matching paradigm, we systematically compared the effects of seven basic facial expressions on identity recognition. Identity matching was quickest when a pair of faces had an identical happy/sad/neutral expression, poorer when they had a fearful/surprise/angry expression, and poorest when they had a disgust expression. Faces with a happy/sad/fear/surprise expression were matched faster than those with an anger/disgust expression when the second face in a pair had a neutral expression. These results demonstrate that effects of facial expression on identity recognition are not limited to happy-faces when a learned face is immediately tested. The results suggest different influences of expression in perceptual matching and long-term recognition memory.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Portugal 1 2%
Italy 1 2%
Germany 1 2%
Canada 1 2%
Japan 1 2%
Unknown 50 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 9 16%
Student > Master 7 12%
Student > Postgraduate 4 7%
Professor > Associate Professor 4 7%
Other 12 21%
Unknown 8 14%
Readers by discipline Count As %
Psychology 33 58%
Medicine and Dentistry 4 7%
Neuroscience 3 5%
Agricultural and Biological Sciences 2 4%
Computer Science 2 4%
Other 7 12%
Unknown 6 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 October 2011.
All research outputs
#17,455,954
of 26,367,306 outputs
Outputs from Frontiers in Psychology
#18,769
of 35,210 outputs
Outputs of similar age
#155,869
of 195,785 outputs
Outputs of similar age from Frontiers in Psychology
#179
of 242 outputs
Altmetric has tracked 26,367,306 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 35,210 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 195,785 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.