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Sex differences in variability across nations in reading, mathematics and science: a meta-analytic extension of Baye and Monseur (2016)

Overview of attention for article published in Large-scale Assessments in Education, February 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 170)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
2 news outlets
twitter
208 X users
wikipedia
1 Wikipedia page
reddit
1 Redditor

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
55 Mendeley
Title
Sex differences in variability across nations in reading, mathematics and science: a meta-analytic extension of Baye and Monseur (2016)
Published in
Large-scale Assessments in Education, February 2019
DOI 10.1186/s40536-019-0070-9
Authors

Helen Gray, Andrew Lyth, Catherine McKenna, Susan Stothard, Peter Tymms, Lee Copping

X Demographics

X Demographics

The data shown below were collected from the profiles of 208 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 13%
Student > Master 6 11%
Student > Bachelor 6 11%
Lecturer 4 7%
Other 3 5%
Other 10 18%
Unknown 19 35%
Readers by discipline Count As %
Psychology 13 24%
Computer Science 5 9%
Mathematics 3 5%
Agricultural and Biological Sciences 2 4%
Social Sciences 2 4%
Other 10 18%
Unknown 20 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 152. 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 27 March 2024.
All research outputs
#273,516
of 25,591,967 outputs
Outputs from Large-scale Assessments in Education
#1
of 170 outputs
Outputs of similar age
#6,336
of 459,084 outputs
Outputs of similar age from Large-scale Assessments in Education
#1
of 6 outputs
Altmetric has tracked 25,591,967 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 170 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done particularly well, scoring higher than 99% 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 459,084 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 98% of its contemporaries.
We're also able to compare this research output to 6 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