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Behavioral Priming 2.0: Enter a Dynamical Systems Perspective

Overview of attention for article published in Frontiers in Psychology, July 2017
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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2 news outlets
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27 X users
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1 YouTube creator

Citations

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7 Dimensions

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88 Mendeley
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Title
Behavioral Priming 2.0: Enter a Dynamical Systems Perspective
Published in
Frontiers in Psychology, July 2017
DOI 10.3389/fpsyg.2017.01204
Pubmed ID
Authors

Dario Krpan

Abstract

On a daily basis, people are exposed to numerous stimuli, ranging from colors and smells to sounds and words, that could potentially activate different cognitive constructs and influence their actions. This type of influence on human behavior is referred to as priming. Roughly two decades ago, behavioral priming was hailed as one of the core forces that shape automatic behavior. However, failures to replicate some of the representative findings in this domain soon followed, which posed the following question: "How robust are behavioral priming effects, and to what extent are they actually important in shaping people's actions?" To shed a new light on this question, I revisit behavioral priming through the prism of a dynamical systems perspective (DSP). The DSP is a scientific paradigm that has been developed through a combined effort of many different academic disciplines, ranging from mathematics and physics to biology, economics, psychology, etc., and it deals with behavior of simple and complex systems over time. In the present paper, I use conceptual and methodological tools stemming from the DSP to propose circumstances under which behavioral priming effects are likely to occur. More precisely, I outline three possible types of the influence of priming on human behavior, to which I refer as emergence, readjustment, and attractor switch, and propose experimental designs to examine them. Finally, I discuss relevant implications for behavioral priming effects and their replications.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 25%
Student > Ph. D. Student 11 13%
Student > Bachelor 10 11%
Student > Doctoral Student 6 7%
Researcher 5 6%
Other 11 13%
Unknown 23 26%
Readers by discipline Count As %
Psychology 23 26%
Social Sciences 12 14%
Business, Management and Accounting 7 8%
Decision Sciences 6 7%
Computer Science 3 3%
Other 12 14%
Unknown 25 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 20 March 2022.
All research outputs
#1,239,164
of 26,552,141 outputs
Outputs from Frontiers in Psychology
#2,624
of 35,493 outputs
Outputs of similar age
#23,564
of 331,010 outputs
Outputs of similar age from Frontiers in Psychology
#55
of 559 outputs
Altmetric has tracked 26,552,141 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 35,493 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done particularly well, scoring higher than 92% 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 331,010 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 92% of its contemporaries.
We're also able to compare this research output to 559 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 90% of its contemporaries.