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Continuous Predictors of Pretest-Posttest Change: Highlighting the Impact of the Regression Artifact

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, January 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#48 of 343)
  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
2 X users
q&a
1 Q&A thread

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
102 Mendeley
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Title
Continuous Predictors of Pretest-Posttest Change: Highlighting the Impact of the Regression Artifact
Published in
Frontiers in Applied Mathematics and Statistics, January 2019
DOI 10.3389/fams.2018.00064
Authors

Linda Farmus, Chantal A. Arpin-Cribbie, Robert A. Cribbie

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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 20%
Student > Bachelor 7 7%
Researcher 7 7%
Student > Master 5 5%
Student > Doctoral Student 3 3%
Other 7 7%
Unknown 53 52%
Readers by discipline Count As %
Psychology 21 21%
Medicine and Dentistry 4 4%
Computer Science 2 2%
Neuroscience 2 2%
Nursing and Health Professions 2 2%
Other 12 12%
Unknown 59 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 May 2021.
All research outputs
#7,333,689
of 23,120,280 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#48
of 343 outputs
Outputs of similar age
#151,433
of 437,326 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#3
of 23 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 343 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 85% 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 437,326 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 64% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.