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Why generalized structured component analysis is not universally preferable to structural equation modeling

Overview of attention for article published in Journal of the Academy of Marketing Science, December 2011
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2 Facebook pages

Citations

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97 Dimensions

Readers on

mendeley
523 Mendeley
Title
Why generalized structured component analysis is not universally preferable to structural equation modeling
Published in
Journal of the Academy of Marketing Science, December 2011
DOI 10.1007/s11747-011-0298-6
Authors

Jörg Henseler

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 523 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 9 2%
Portugal 4 <1%
Germany 3 <1%
United Kingdom 2 <1%
United States 2 <1%
Brazil 2 <1%
Austria 1 <1%
Ghana 1 <1%
Indonesia 1 <1%
Other 4 <1%
Unknown 494 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 174 33%
Student > Doctoral Student 60 11%
Student > Master 54 10%
Lecturer 34 7%
Researcher 31 6%
Other 120 23%
Unknown 50 10%
Readers by discipline Count As %
Business, Management and Accounting 249 48%
Social Sciences 75 14%
Computer Science 31 6%
Economics, Econometrics and Finance 20 4%
Engineering 19 4%
Other 63 12%
Unknown 66 13%
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 13 January 2013.
All research outputs
#18,327,422
of 22,694,633 outputs
Outputs from Journal of the Academy of Marketing Science
#671
of 737 outputs
Outputs of similar age
#195,773
of 243,705 outputs
Outputs of similar age from Journal of the Academy of Marketing Science
#2
of 2 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 737 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 6th percentile – i.e., 6% 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 243,705 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.