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STATISTICAL TECHNIQUES UTILIZED IN ANALYZING PISA AND TIMSS DATA IN SCIENCE EDUCATION FROM 1996 TO 2013: A METHODOLOGICAL REVIEW

Overview of attention for article published in International Journal of Science and Mathematics Education, June 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
81 Mendeley
Title
STATISTICAL TECHNIQUES UTILIZED IN ANALYZING PISA AND TIMSS DATA IN SCIENCE EDUCATION FROM 1996 TO 2013: A METHODOLOGICAL REVIEW
Published in
International Journal of Science and Mathematics Education, June 2014
DOI 10.1007/s10763-014-9558-5
Authors

Pey-Yan Liou, Yi-Chen Hung

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

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Spain 1 1%
Israel 1 1%
Portugal 1 1%
Unknown 76 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 22%
Student > Master 10 12%
Researcher 8 10%
Student > Doctoral Student 5 6%
Lecturer 5 6%
Other 11 14%
Unknown 24 30%
Readers by discipline Count As %
Social Sciences 30 37%
Psychology 8 10%
Computer Science 5 6%
Economics, Econometrics and Finance 4 5%
Mathematics 3 4%
Other 5 6%
Unknown 26 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 December 2017.
All research outputs
#13,631,082
of 23,857,313 outputs
Outputs from International Journal of Science and Mathematics Education
#265
of 894 outputs
Outputs of similar age
#108,822
of 231,320 outputs
Outputs of similar age from International Journal of Science and Mathematics Education
#5
of 28 outputs
Altmetric has tracked 23,857,313 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 894 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 67% 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 231,320 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.