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Predictive model assessment in PLS-SEM: guidelines for using PLSpredict

Overview of attention for article published in European Journal of Marketing, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 627)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
1441 Dimensions

Readers on

mendeley
2449 Mendeley
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Title
Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
Published in
European Journal of Marketing, November 2019
DOI 10.1108/ejm-02-2019-0189
Authors

Galit Shmueli, Marko Sarstedt, Joseph F. Hair, Jun-Hwa Cheah, Hiram Ting, Santha Vaithilingam, Christian M. Ringle

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 2,449 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2449 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 417 17%
Lecturer 193 8%
Student > Master 177 7%
Student > Doctoral Student 173 7%
Researcher 122 5%
Other 418 17%
Unknown 949 39%
Readers by discipline Count As %
Business, Management and Accounting 761 31%
Social Sciences 167 7%
Economics, Econometrics and Finance 117 5%
Engineering 64 3%
Computer Science 59 2%
Other 256 10%
Unknown 1025 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 19 February 2024.
All research outputs
#2,074,769
of 25,385,509 outputs
Outputs from European Journal of Marketing
#42
of 627 outputs
Outputs of similar age
#43,639
of 375,144 outputs
Outputs of similar age from European Journal of Marketing
#1
of 14 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 627 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 93% 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 375,144 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.