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Avoidance learning: a review of theoretical models and recent developments

Overview of attention for article published in Frontiers in Behavioral Neuroscience, January 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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11 news outlets
twitter
18 X users

Citations

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257 Dimensions

Readers on

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546 Mendeley
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Title
Avoidance learning: a review of theoretical models and recent developments
Published in
Frontiers in Behavioral Neuroscience, January 2015
DOI 10.3389/fnbeh.2015.00189
Pubmed ID
Authors

Angelos-Miltiadis Krypotos, Marieke Effting, Merel Kindt, Tom Beckers

Abstract

Avoidance is a key characteristic of adaptive and maladaptive fear. Here, we review past and contemporary theories of avoidance learning. Based on the theories, experimental findings and clinical observations reviewed, we distill key principles of how adaptive and maladaptive avoidance behavior is acquired and maintained. We highlight clinical implications of avoidance learning theories and describe intervention strategies that could reduce maladaptive avoidance and prevent its return. We end with a brief overview of recent developments and avenues for further research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 546 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
United States 1 <1%
France 1 <1%
Unknown 543 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 103 19%
Student > Ph. D. Student 85 16%
Student > Bachelor 67 12%
Researcher 45 8%
Student > Doctoral Student 38 7%
Other 61 11%
Unknown 147 27%
Readers by discipline Count As %
Psychology 191 35%
Neuroscience 83 15%
Agricultural and Biological Sciences 24 4%
Medicine and Dentistry 15 3%
Social Sciences 10 2%
Other 55 10%
Unknown 168 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 21 April 2022.
All research outputs
#422,750
of 24,694,993 outputs
Outputs from Frontiers in Behavioral Neuroscience
#71
of 3,380 outputs
Outputs of similar age
#5,180
of 363,334 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#5
of 68 outputs
Altmetric has tracked 24,694,993 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,380 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done particularly well, scoring higher than 97% 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 363,334 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.