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Determining causal relationships in leadership research using Machine Learning: The powerful synergy of experiments and data science

Overview of attention for article published in Leadership Quarterly, October 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
169 Mendeley
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Title
Determining causal relationships in leadership research using Machine Learning: The powerful synergy of experiments and data science
Published in
Leadership Quarterly, October 2022
DOI 10.1016/j.leaqua.2020.101426
Authors

Allan Lee, Ilke Inceoglu, Oliver Hauser, Michael Greene

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 169 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 16%
Lecturer 13 8%
Student > Master 10 6%
Student > Doctoral Student 10 6%
Professor 8 5%
Other 35 21%
Unknown 66 39%
Readers by discipline Count As %
Business, Management and Accounting 36 21%
Social Sciences 19 11%
Psychology 12 7%
Computer Science 7 4%
Economics, Econometrics and Finance 4 2%
Other 14 8%
Unknown 77 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 15 October 2020.
All research outputs
#6,968,832
of 25,387,668 outputs
Outputs from Leadership Quarterly
#451
of 870 outputs
Outputs of similar age
#125,581
of 439,252 outputs
Outputs of similar age from Leadership Quarterly
#4
of 8 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. This one is in the 48th percentile – i.e., 48% 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 439,252 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 71% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.