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Identifying category representations for complex stimuli using discrete Markov chain Monte Carlo with people

Overview of attention for article published in Behavior Research Methods, February 2019
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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 (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
26 Mendeley
Title
Identifying category representations for complex stimuli using discrete Markov chain Monte Carlo with people
Published in
Behavior Research Methods, February 2019
DOI 10.3758/s13428-019-01201-9
Pubmed ID
Authors

Anne S. Hsu, Jay B. Martin, Adam N. Sanborn, Thomas L. Griffiths

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Student > Bachelor 4 15%
Researcher 3 12%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Other 2 8%
Unknown 5 19%
Readers by discipline Count As %
Psychology 12 46%
Linguistics 2 8%
Neuroscience 2 8%
Computer Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 8%
Unknown 6 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 August 2019.
All research outputs
#4,721,995
of 25,385,509 outputs
Outputs from Behavior Research Methods
#613
of 2,526 outputs
Outputs of similar age
#105,006
of 457,901 outputs
Outputs of similar age from Behavior Research Methods
#26
of 47 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,526 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 73% 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 457,901 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 76% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.