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Brain Responses to Dynamic Facial Expressions: A Normative Meta-Analysis

Overview of attention for article published in Frontiers in Human Neuroscience, June 2018
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Average Attention Score compared to outputs of the same age and source

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8 X users

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69 Mendeley
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Title
Brain Responses to Dynamic Facial Expressions: A Normative Meta-Analysis
Published in
Frontiers in Human Neuroscience, June 2018
DOI 10.3389/fnhum.2018.00227
Pubmed ID
Authors

Oksana Zinchenko, Zachary A. Yaple, Marie Arsalidou

Abstract

Identifying facial expressions is crucial for social interactions. Functional neuroimaging studies show that a set of brain areas, such as the fusiform gyrus and amygdala, become active when viewing emotional facial expressions. The majority of functional magnetic resonance imaging (fMRI) studies investigating face perception typically employ static images of faces. However, studies that use dynamic facial expressions (e.g., videos) are accumulating and suggest that a dynamic presentation may be more sensitive and ecologically valid for investigating faces. By using quantitative fMRI meta-analysis the present study examined concordance of brain regions associated with viewing dynamic facial expressions. We analyzed data from 216 participants that participated in 14 studies, which reported coordinates for 28 experiments. Our analysis revealed bilateral fusiform and middle temporal gyri, left amygdala, left declive of the cerebellum and the right inferior frontal gyrus. These regions are discussed in terms of their relation to models of face processing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 14%
Researcher 10 14%
Student > Master 7 10%
Other 5 7%
Student > Bachelor 4 6%
Other 13 19%
Unknown 20 29%
Readers by discipline Count As %
Psychology 18 26%
Neuroscience 13 19%
Social Sciences 3 4%
Linguistics 2 3%
Medicine and Dentistry 2 3%
Other 6 9%
Unknown 25 36%
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 12 June 2018.
All research outputs
#7,417,708
of 23,344,526 outputs
Outputs from Frontiers in Human Neuroscience
#3,152
of 7,271 outputs
Outputs of similar age
#127,230
of 330,522 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#74
of 144 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,271 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 55% 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 330,522 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 60% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.