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An Innovative Application of Composite-Based Structural Equation Modeling in Hospitality Research With Empirical Example

Overview of attention for article published in Cornell Hotel & Restaurant Administration Quarterly, September 2020
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1 X user

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136 Mendeley
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Title
An Innovative Application of Composite-Based Structural Equation Modeling in Hospitality Research With Empirical Example
Published in
Cornell Hotel & Restaurant Administration Quarterly, September 2020
DOI 10.1177/1938965520951751
Authors

Noppadol Manosuthi, Jin-Soo Lee, Heesup Han

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 26%
Student > Master 11 8%
Lecturer 10 7%
Lecturer > Senior Lecturer 9 7%
Student > Doctoral Student 8 6%
Other 23 17%
Unknown 40 29%
Readers by discipline Count As %
Business, Management and Accounting 44 32%
Social Sciences 17 13%
Economics, Econometrics and Finance 7 5%
Computer Science 5 4%
Arts and Humanities 4 3%
Other 16 12%
Unknown 43 32%
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 September 2020.
All research outputs
#17,604,528
of 25,806,763 outputs
Outputs from Cornell Hotel & Restaurant Administration Quarterly
#218
of 328 outputs
Outputs of similar age
#266,889
of 416,842 outputs
Outputs of similar age from Cornell Hotel & Restaurant Administration Quarterly
#2
of 4 outputs
Altmetric has tracked 25,806,763 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 328 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 21st percentile – i.e., 21% 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 416,842 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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.