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General and specific responsiveness of the amygdala during explicit emotion recognition in females and males

Overview of attention for article published in BMC Neuroscience, August 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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1 Facebook page
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1 Wikipedia page

Citations

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84 Dimensions

Readers on

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193 Mendeley
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Title
General and specific responsiveness of the amygdala during explicit emotion recognition in females and males
Published in
BMC Neuroscience, August 2009
DOI 10.1186/1471-2202-10-91
Pubmed ID
Authors

Birgit Derntl, Ute Habel, Christian Windischberger, Simon Robinson, Ilse Kryspin-Exner, Ruben C Gur, Ewald Moser

Abstract

The ability to recognize emotions in facial expressions relies on an extensive neural network with the amygdala as the key node as has typically been demonstrated for the processing of fearful stimuli. A sufficient characterization of the factors influencing and modulating amygdala function, however, has not been reached now. Due to lacking or diverging results on its involvement in recognizing all or only certain negative emotions, the influence of gender or ethnicity is still under debate. This high-resolution fMRI study addresses some of the relevant parameters, such as emotional valence, gender and poser ethnicity on amygdala activation during facial emotion recognition in 50 Caucasian subjects. Stimuli were color photographs of emotional Caucasian and African American faces.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 2%
Portugal 2 1%
Italy 2 1%
United Kingdom 2 1%
United States 2 1%
Australia 1 <1%
Austria 1 <1%
Mexico 1 <1%
Canada 1 <1%
Other 2 1%
Unknown 175 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 20%
Researcher 31 16%
Student > Doctoral Student 23 12%
Student > Bachelor 20 10%
Student > Master 14 7%
Other 36 19%
Unknown 30 16%
Readers by discipline Count As %
Psychology 86 45%
Medicine and Dentistry 16 8%
Neuroscience 16 8%
Agricultural and Biological Sciences 11 6%
Social Sciences 7 4%
Other 16 8%
Unknown 41 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 February 2018.
All research outputs
#7,210,743
of 22,792,160 outputs
Outputs from BMC Neuroscience
#350
of 1,244 outputs
Outputs of similar age
#36,301
of 110,951 outputs
Outputs of similar age from BMC Neuroscience
#13
of 30 outputs
Altmetric has tracked 22,792,160 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 1,244 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 70% 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 110,951 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 66% of its contemporaries.
We're also able to compare this research output to 30 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 56% of its contemporaries.