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Estimating random effects in a finite Markov chain with absorbing states: Application to cognitive data

Overview of attention for article published in Statistica Neerlandica, February 2023
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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2 X users

Readers on

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1 Mendeley
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Title
Estimating random effects in a finite Markov chain with absorbing states: Application to cognitive data
Published in
Statistica Neerlandica, February 2023
DOI 10.1111/stan.12286
Pubmed ID
Authors

Pei Wang, Erin L. Abner, Changrui Liu, David W. Fardo, Frederick A. Schmitt, Gregory A. Jicha, Linda J. Van Eldik, Richard J. Kryscio

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 February 2023.
All research outputs
#17,281,642
of 25,375,376 outputs
Outputs from Statistica Neerlandica
#98
of 156 outputs
Outputs of similar age
#268,850
of 473,945 outputs
Outputs of similar age from Statistica Neerlandica
#3
of 5 outputs
Altmetric has tracked 25,375,376 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 156 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 26th percentile – i.e., 26% 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 473,945 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.