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LMX differentiation as a double‐edged sword: A social hierarchy perspective for understanding the beneficial and detrimental effects of LMX differentiation on team performance

Overview of attention for article published in Personnel Psychology, January 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
15 Mendeley
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Title
LMX differentiation as a double‐edged sword: A social hierarchy perspective for understanding the beneficial and detrimental effects of LMX differentiation on team performance
Published in
Personnel Psychology, January 2023
DOI 10.1111/peps.12564
Authors

Haoying Xu, Sandy J. Wayne, Linda C. Wang, Jingzhou Pan

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Unspecified 1 7%
Professor 1 7%
Other 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 6 40%
Readers by discipline Count As %
Business, Management and Accounting 4 27%
Unspecified 1 7%
Psychology 1 7%
Economics, Econometrics and Finance 1 7%
Social Sciences 1 7%
Other 0 0%
Unknown 7 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 18 July 2023.
All research outputs
#1,168,378
of 25,732,188 outputs
Outputs from Personnel Psychology
#103
of 865 outputs
Outputs of similar age
#25,286
of 476,580 outputs
Outputs of similar age from Personnel Psychology
#3
of 20 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 865 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.3. 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 476,580 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.