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Model of cognitive dynamics predicts performance on standardized tests

Overview of attention for article published in Journal of Computational Social Science, August 2018
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
5 X users
patent
1 patent

Readers on

mendeley
7 Mendeley
Title
Model of cognitive dynamics predicts performance on standardized tests
Published in
Journal of Computational Social Science, August 2018
DOI 10.1007/s42001-018-0025-x
Authors

Nathan O. Hodas, Jacob Hunter, Stephen J. Young, Kristina Lerman

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 14%
Lecturer 1 14%
Student > Doctoral Student 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Other 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 2 29%
Psychology 2 29%
Engineering 2 29%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 18 May 2021.
All research outputs
#1,598,277
of 23,103,436 outputs
Outputs from Journal of Computational Social Science
#25,449
of 949,639 outputs
Outputs of similar age
#35,368
of 331,098 outputs
Outputs of similar age from Journal of Computational Social Science
#643
of 23,254 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 949,639 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 331,098 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 89% of its contemporaries.
We're also able to compare this research output to 23,254 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.