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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 (#43 of 967)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
74 tweeters
q&a
1 Q&A thread

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
194 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 74 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 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 194 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 26%
Researcher 30 15%
Student > Master 29 15%
Student > Bachelor 15 8%
Student > Doctoral Student 14 7%
Other 27 14%
Unknown 28 14%
Readers by discipline Count As %
Social Sciences 80 41%
Psychology 31 16%
Economics, Econometrics and Finance 7 4%
Medicine and Dentistry 6 3%
Agricultural and Biological Sciences 5 3%
Other 28 14%
Unknown 37 19%

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
#580,712
of 20,034,281 outputs
Outputs from European Sociological Review
#43
of 967 outputs
Outputs of similar age
#15,970
of 361,966 outputs
Outputs of similar age from European Sociological Review
#2
of 9 outputs
Altmetric has tracked 20,034,281 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 967 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 95% 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 361,966 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 7 of them.