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Why You Should Always Include a Random Slope for the Lower-Level Variable Involved in a Cross-Level Interaction

Overview of attention for article published in European Sociological Review, February 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 887)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
77 tweeters

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
125 Mendeley
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Title
Why You Should Always Include a Random Slope for the Lower-Level Variable Involved in a Cross-Level Interaction
Published in
European Sociological Review, February 2019
DOI 10.1093/esr/jcy053
Authors

Jan Paul Heisig, Merlin Schaeffer

Twitter Demographics

The data shown below were collected from the profiles of 77 tweeters 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 27%
Researcher 23 18%
Student > Master 19 15%
Student > Bachelor 11 9%
Student > Doctoral Student 9 7%
Other 17 14%
Unknown 12 10%
Readers by discipline Count As %
Social Sciences 59 47%
Psychology 15 12%
Business, Management and Accounting 5 4%
Medicine and Dentistry 4 3%
Agricultural and Biological Sciences 3 2%
Other 17 14%
Unknown 22 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 03 December 2020.
All research outputs
#485,356
of 17,136,794 outputs
Outputs from European Sociological Review
#33
of 887 outputs
Outputs of similar age
#14,983
of 344,369 outputs
Outputs of similar age from European Sociological Review
#1
of 9 outputs
Altmetric has tracked 17,136,794 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 887 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 96% 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 344,369 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 95% of its contemporaries.
We're also able to compare this research output to 9 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