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Using process data to understand problem-solving strategies and processes for drag-and-drop items in a large-scale mathematics assessment

Overview of attention for article published in Large-scale Assessments in Education, February 2021
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Mentioned by

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2 X users
facebook
1 Facebook page

Citations

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14 Dimensions

Readers on

mendeley
53 Mendeley
Title
Using process data to understand problem-solving strategies and processes for drag-and-drop items in a large-scale mathematics assessment
Published in
Large-scale Assessments in Education, February 2021
DOI 10.1186/s40536-021-00095-4
Authors

Yang Jiang, Tao Gong, Luis E. Saldivia, Gabrielle Cayton-Hodges, Christopher Agard

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 13%
Lecturer 7 13%
Student > Ph. D. Student 4 8%
Student > Doctoral Student 3 6%
Student > Postgraduate 3 6%
Other 7 13%
Unknown 22 42%
Readers by discipline Count As %
Social Sciences 12 23%
Mathematics 7 13%
Arts and Humanities 5 9%
Psychology 3 6%
Neuroscience 1 2%
Other 1 2%
Unknown 24 45%
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 25 February 2021.
All research outputs
#15,670,897
of 23,285,523 outputs
Outputs from Large-scale Assessments in Education
#126
of 143 outputs
Outputs of similar age
#259,061
of 418,125 outputs
Outputs of similar age from Large-scale Assessments in Education
#5
of 5 outputs
Altmetric has tracked 23,285,523 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 143 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 8th percentile – i.e., 8% 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 418,125 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.