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Probability expression for changeable and changeless uncertainties: an implicit test

Overview of attention for article published in Frontiers in Psychology, November 2014
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Probability expression for changeable and changeless uncertainties: an implicit test
Published in
Frontiers in Psychology, November 2014
DOI 10.3389/fpsyg.2014.01313
Pubmed ID
Authors

Yun Wang, Xue-Lei Du, Li-Lin Rao, Shu Li

Abstract

"Everything changes and nothing remains still."We designed three implicit studies to understand how people react or adapt to a rapidly changing world by testing whether verbal probability is better in expressing changeable uncertainty while numerical probability is better in expressing unchangeable uncertainty. We found that the "verbal-changeable" combination in implicit tasks was more compatible than the "numerical-changeable" combination. Furthermore, the "numerical-changeless" combination was more compatible than the "verbal-changeless" combination. Thus, a novel feature called "changeability" was proposed to describe the changeable nature of verbal probability. However, numerical probability is a better carrier of changeless uncertainty than verbal probability. These results extend the domain of probability predictions and enrich our general understanding of communication with verbal and numerical probabilities. Given that the world around us is constantly changing, this "changeability" feature may play a major role in preparing for uncertainty.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 20%
Student > Ph. D. Student 2 20%
Professor > Associate Professor 2 20%
Student > Master 2 20%
Professor 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Psychology 7 70%
Business, Management and Accounting 1 10%
Social Sciences 1 10%
Unknown 1 10%
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 13 November 2014.
All research outputs
#7,509,531
of 24,357,902 outputs
Outputs from Frontiers in Psychology
#10,738
of 32,795 outputs
Outputs of similar age
#78,752
of 263,597 outputs
Outputs of similar age from Frontiers in Psychology
#187
of 373 outputs
Altmetric has tracked 24,357,902 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 32,795 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has gotten more attention than average, scoring higher than 66% 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 263,597 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 69% of its contemporaries.
We're also able to compare this research output to 373 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.