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Sampling weights in multilevel modelling: an investigation using PISA sampling structures

Overview of attention for article published in Large-scale Assessments in Education, March 2021
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Citations

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Readers on

mendeley
44 Mendeley
Title
Sampling weights in multilevel modelling: an investigation using PISA sampling structures
Published in
Large-scale Assessments in Education, March 2021
DOI 10.1186/s40536-021-00099-0
Authors

Julia Mang, Helmut Küchenhoff, Sabine Meinck, Manfred Prenzel

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

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Lecturer 5 11%
Researcher 5 11%
Student > Doctoral Student 4 9%
Professor > Associate Professor 3 7%
Other 4 9%
Unknown 15 34%
Readers by discipline Count As %
Social Sciences 17 39%
Psychology 5 11%
Linguistics 1 2%
Computer Science 1 2%
Arts and Humanities 1 2%
Other 3 7%
Unknown 16 36%
Attention Score in Context

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 30 May 2022.
All research outputs
#14,222,096
of 23,577,761 outputs
Outputs from Large-scale Assessments in Education
#116
of 147 outputs
Outputs of similar age
#216,864
of 431,390 outputs
Outputs of similar age from Large-scale Assessments in Education
#8
of 10 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 147 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 20th percentile – i.e., 20% 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 431,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.