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Efficient analysis of split-plot experimental designs using model averaging

Overview of attention for article published in Journal of Quality Technology, January 2023
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About this Attention Score

  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Efficient analysis of split-plot experimental designs using model averaging
Published in
Journal of Quality Technology, January 2023
DOI 10.1080/00224065.2022.2147108
Authors

Chuen Yen Hong, David Fletcher, Jiaxu Zeng, Christina M. McGraw, Christopher E. Cornwall, Vonda J. Cummings, Neill G. Barr, Emily J. Frost, Peter W. Dillingham

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 17%
Student > Master 1 17%
Unknown 4 67%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 17%
Unknown 5 83%
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 27 January 2023.
All research outputs
#19,616,444
of 24,987,787 outputs
Outputs from Journal of Quality Technology
#90
of 150 outputs
Outputs of similar age
#326,224
of 470,625 outputs
Outputs of similar age from Journal of Quality Technology
#3
of 12 outputs
Altmetric has tracked 24,987,787 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 150 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 40th percentile – i.e., 40% 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 470,625 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.