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Estimating the proportion of guilty suspects and posterior probability of guilt in lineups using signal-detection models

Overview of attention for article published in Cognitive Research: Principles and Implications, May 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Estimating the proportion of guilty suspects and posterior probability of guilt in lineups using signal-detection models
Published in
Cognitive Research: Principles and Implications, May 2020
DOI 10.1186/s41235-020-00219-4
Pubmed ID
Authors

Andrew L. Cohen, Jeffrey J. Starns, Caren M. Rotello, Andrea M. Cataldo

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 50%
Student > Master 2 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 25%
Psychology 1 25%
Decision Sciences 1 25%
Neuroscience 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 September 2020.
All research outputs
#8,505,714
of 16,480,081 outputs
Outputs from Cognitive Research: Principles and Implications
#113
of 187 outputs
Outputs of similar age
#115,980
of 281,162 outputs
Outputs of similar age from Cognitive Research: Principles and Implications
#1
of 1 outputs
Altmetric has tracked 16,480,081 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 187 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.8. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 281,162 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 58% 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