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The potentials of partial least squares structural equation modeling (PLS-SEM) in leisure research

Overview of attention for article published in Journal of Leisure Research, June 2022
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Mentioned by

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1 Facebook page

Citations

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16 Dimensions

Readers on

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72 Mendeley
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Title
The potentials of partial least squares structural equation modeling (PLS-SEM) in leisure research
Published in
Journal of Leisure Research, June 2022
DOI 10.1080/00222216.2022.2066492
Authors

Shintaro Kono, Mikihiro Sato

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 11%
Lecturer 6 8%
Unspecified 3 4%
Student > Doctoral Student 3 4%
Professor > Associate Professor 3 4%
Other 9 13%
Unknown 40 56%
Readers by discipline Count As %
Business, Management and Accounting 9 13%
Economics, Econometrics and Finance 5 7%
Computer Science 5 7%
Unspecified 3 4%
Nursing and Health Professions 2 3%
Other 8 11%
Unknown 40 56%
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 29 June 2022.
All research outputs
#20,237,640
of 22,764,165 outputs
Outputs from Journal of Leisure Research
#197
of 200 outputs
Outputs of similar age
#352,396
of 440,081 outputs
Outputs of similar age from Journal of Leisure Research
#3
of 3 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 1st percentile – i.e., 1% 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 440,081 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.