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Partial least squares structural equation modeling using SmartPLS: a software review

Overview of attention for article published in Journal of Marketing Analytics, June 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#18 of 141)
  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
2 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
412 Dimensions

Readers on

mendeley
1125 Mendeley
Title
Partial least squares structural equation modeling using SmartPLS: a software review
Published in
Journal of Marketing Analytics, June 2019
DOI 10.1057/s41270-019-00058-3
Authors

Marko Sarstedt, Jun-Hwa Cheah

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 1,125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 141 13%
Student > Master 111 10%
Lecturer 88 8%
Student > Bachelor 81 7%
Student > Doctoral Student 58 5%
Other 168 15%
Unknown 478 42%
Readers by discipline Count As %
Business, Management and Accounting 272 24%
Social Sciences 77 7%
Computer Science 55 5%
Economics, Econometrics and Finance 51 5%
Engineering 49 4%
Other 102 9%
Unknown 519 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 2023.
All research outputs
#6,631,409
of 23,845,863 outputs
Outputs from Journal of Marketing Analytics
#18
of 141 outputs
Outputs of similar age
#116,736
of 352,849 outputs
Outputs of similar age from Journal of Marketing Analytics
#2
of 4 outputs
Altmetric has tracked 23,845,863 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 141 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 87% 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 352,849 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 66% of its contemporaries.
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.