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Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives

Overview of attention for article published in Social Science Research, February 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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
67 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
46 Mendeley
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Title
Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives
Published in
Social Science Research, February 2023
DOI 10.1016/j.ssresearch.2022.102805
Authors

Heinz Leitgöb, Daniel Seddig, Tihomir Asparouhov, Dorothée Behr, Eldad Davidov, Kim De Roover, Suzanne Jak, Katharina Meitinger, Natalja Menold, Bengt Muthén, Maksim Rudnev, Peter Schmidt, Rens van de Schoot

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 67 tweeters 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 26%
Student > Ph. D. Student 12 26%
Professor 4 9%
Unspecified 3 7%
Professor > Associate Professor 3 7%
Other 6 13%
Unknown 6 13%
Readers by discipline Count As %
Psychology 14 30%
Social Sciences 12 26%
Unspecified 5 11%
Economics, Econometrics and Finance 3 7%
Arts and Humanities 2 4%
Other 3 7%
Unknown 7 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 11 November 2022.
All research outputs
#842,920
of 24,500,598 outputs
Outputs from Social Science Research
#112
of 1,349 outputs
Outputs of similar age
#17,959
of 448,503 outputs
Outputs of similar age from Social Science Research
#2
of 33 outputs
Altmetric has tracked 24,500,598 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,349 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.0. This one has done particularly well, scoring higher than 91% 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 448,503 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 96% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.