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Visualizing Uncertainty for Non-Expert End Users: The Challenge of the Deterministic Construal Error

Overview of attention for article published in Frontiers in Computer Science, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
31 Mendeley
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Title
Visualizing Uncertainty for Non-Expert End Users: The Challenge of the Deterministic Construal Error
Published in
Frontiers in Computer Science, January 2021
DOI 10.3389/fcomp.2020.590232
Authors

Susan Joslyn, Sonia Savelli

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Student > Bachelor 4 13%
Researcher 3 10%
Student > Doctoral Student 2 6%
Student > Master 2 6%
Other 4 13%
Unknown 11 35%
Readers by discipline Count As %
Earth and Planetary Sciences 4 13%
Engineering 4 13%
Environmental Science 2 6%
Computer Science 2 6%
Social Sciences 2 6%
Other 5 16%
Unknown 12 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 December 2022.
All research outputs
#4,398,545
of 25,992,468 outputs
Outputs from Frontiers in Computer Science
#1
of 1 outputs
Outputs of similar age
#113,945
of 535,948 outputs
Outputs of similar age from Frontiers in Computer Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 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 1 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one scored the same or higher as 0 of them.
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 535,948 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 78% of its contemporaries.
We're also able to compare this research output to 1 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