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Using Time-Varying Evidence to Test Models of Decision Dynamics: Bounded Diffusion vs. the Leaky Competing Accumulator Model

Overview of attention for article published in Frontiers in Neuroscience, January 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
163 Mendeley
citeulike
1 CiteULike
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Title
Using Time-Varying Evidence to Test Models of Decision Dynamics: Bounded Diffusion vs. the Leaky Competing Accumulator Model
Published in
Frontiers in Neuroscience, January 2012
DOI 10.3389/fnins.2012.00079
Pubmed ID
Authors

Konstantinos Tsetsos, Juan Gao, James L. McClelland, Marius Usher

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 3%
United States 4 2%
Netherlands 2 1%
Israel 1 <1%
France 1 <1%
Unknown 150 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 28%
Researcher 34 21%
Student > Master 17 10%
Student > Bachelor 13 8%
Professor 10 6%
Other 24 15%
Unknown 20 12%
Readers by discipline Count As %
Psychology 61 37%
Neuroscience 27 17%
Computer Science 11 7%
Agricultural and Biological Sciences 10 6%
Engineering 7 4%
Other 21 13%
Unknown 26 16%
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 03 February 2021.
All research outputs
#4,168,397
of 25,374,647 outputs
Outputs from Frontiers in Neuroscience
#3,436
of 11,542 outputs
Outputs of similar age
#32,558
of 250,100 outputs
Outputs of similar age from Frontiers in Neuroscience
#36
of 154 outputs
Altmetric has tracked 25,374,647 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 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 70% 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 250,100 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 86% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.