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Facial expression recognition in Alzheimer’s disease: a longitudinal study

Overview of attention for article published in Arquivos de Neuro-Psiquiatria, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 526)
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
101 Mendeley
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Title
Facial expression recognition in Alzheimer’s disease: a longitudinal study
Published in
Arquivos de Neuro-Psiquiatria, May 2015
DOI 10.1590/0004-282x20150009
Pubmed ID
Authors

Bianca Torres, Raquel Luiza Santos, Maria Fernanda Barroso de Sousa, José Pedro Simões Neto, Marcela Moreira Lima Nogueira, Tatiana T. Belfort, Rachel Dias, Marcia Cristina Nascimento Dourado

Abstract

Facial recognition is one of the most important aspects of social cognition. In this study, we investigate the patterns of change and the factors involved in the ability to recognize emotion in mild Alzheimer's disease (AD). Through a longitudinal design, we assessed 30 people with AD. We used an experimental task that includes matching expressions with picture stimuli, labelling emotions and emotionally recognizing a stimulus situation. We observed a significant difference in the situational recognition task (p ≤ 0.05) between baseline and the second evaluation. The linear regression showed that cognition is a predictor of emotion recognition impairment (p ≤ 0.05). The ability to perceive emotions from facial expressions was impaired, particularly when the emotions presented were relatively subtle. Cognition is recruited to comprehend emotional situations in cases of mild dementia.

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 29 29%
Student > Ph. D. Student 17 17%
Student > Master 12 12%
Researcher 9 9%
Student > Doctoral Student 7 7%
Other 13 13%
Unknown 14 14%
Readers by discipline Count As %
Medicine and Dentistry 29 29%
Psychology 23 23%
Neuroscience 11 11%
Nursing and Health Professions 4 4%
Engineering 3 3%
Other 12 12%
Unknown 19 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 05 June 2015.
All research outputs
#1,950,377
of 12,539,922 outputs
Outputs from Arquivos de Neuro-Psiquiatria
#25
of 526 outputs
Outputs of similar age
#43,355
of 234,447 outputs
Outputs of similar age from Arquivos de Neuro-Psiquiatria
#1
of 2 outputs
Altmetric has tracked 12,539,922 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 526 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 99% 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 234,447 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them