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Robust partial least squares path modeling

Overview of attention for article published in Behaviormetrika, July 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
57 Mendeley
Title
Robust partial least squares path modeling
Published in
Behaviormetrika, July 2019
DOI 10.1007/s41237-019-00088-2
Authors

Tamara Schamberger, Florian Schuberth, Jörg Henseler, Theo K. Dijkstra

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 4%
Sri Lanka 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Professor 8 14%
Lecturer 8 14%
Student > Ph. D. Student 8 14%
Researcher 7 12%
Student > Master 4 7%
Other 22 39%
Readers by discipline Count As %
Business, Management and Accounting 21 37%
Unspecified 12 21%
Social Sciences 9 16%
Computer Science 6 11%
Arts and Humanities 2 4%
Other 7 12%

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 23 July 2019.
All research outputs
#8,578,720
of 13,652,000 outputs
Outputs from Behaviormetrika
#22
of 55 outputs
Outputs of similar age
#146,122
of 246,058 outputs
Outputs of similar age from Behaviormetrika
#1
of 1 outputs
Altmetric has tracked 13,652,000 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 55 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 47th percentile – i.e., 47% 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 246,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them