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Guest editorial: Predictive modeling in logistics and supply chain management research using partial least squares structural equation modeling

Overview of attention for article published in International Journal of Physical Distribution & Logistics Management, August 2023
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Mentioned by

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1 Facebook page

Citations

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12 Dimensions

Readers on

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17 Mendeley
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Title
Guest editorial: Predictive modeling in logistics and supply chain management research using partial least squares structural equation modeling
Published in
International Journal of Physical Distribution & Logistics Management, August 2023
DOI 10.1108/ijpdlm-08-2023-552
Authors

Jun-Hwa Cheah, Wolfgang Kersten, Christian M. Ringle, Carl Wallenburg

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 12%
Student > Ph. D. Student 2 12%
Professor 1 6%
Lecturer 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 9 53%
Readers by discipline Count As %
Business, Management and Accounting 4 24%
Unspecified 2 12%
Arts and Humanities 1 6%
Engineering 1 6%
Unknown 9 53%
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 04 March 2024.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from International Journal of Physical Distribution & Logistics Management
#217
of 231 outputs
Outputs of similar age
#296,296
of 355,552 outputs
Outputs of similar age from International Journal of Physical Distribution & Logistics Management
#2
of 2 outputs
Altmetric has tracked 25,394,764 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 231 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 355,552 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 2 others from the same source and published within six weeks on either side of this one.