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The Importance of Multiple Representations of Mathematical Problems: Evidence from Chinese Preservice Elementary Teachers’ Analysis of a Learning Goal

Overview of attention for article published in International Journal of Science and Mathematics Education, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 894)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
85 Mendeley
Title
The Importance of Multiple Representations of Mathematical Problems: Evidence from Chinese Preservice Elementary Teachers’ Analysis of a Learning Goal
Published in
International Journal of Science and Mathematics Education, August 2016
DOI 10.1007/s10763-016-9760-8
Authors

Rui Kang, Di Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 1%
Unknown 84 99%

Demographic breakdown

Readers by professional status Count As %
Lecturer 14 16%
Student > Master 7 8%
Student > Bachelor 7 8%
Student > Doctoral Student 6 7%
Researcher 5 6%
Other 12 14%
Unknown 34 40%
Readers by discipline Count As %
Mathematics 25 29%
Social Sciences 12 14%
Psychology 4 5%
Physics and Astronomy 3 4%
Arts and Humanities 2 2%
Other 5 6%
Unknown 34 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 04 February 2018.
All research outputs
#2,582,684
of 23,857,313 outputs
Outputs from International Journal of Science and Mathematics Education
#37
of 894 outputs
Outputs of similar age
#47,353
of 360,921 outputs
Outputs of similar age from International Journal of Science and Mathematics Education
#5
of 18 outputs
Altmetric has tracked 23,857,313 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 894 research outputs from this source. They receive a mean Attention Score of 3.6. 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 360,921 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 18 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 72% of its contemporaries.