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Modelling mathematics problem solving item responses using a multidimensional IRT model

Overview of attention for article published in Mathematics Education Research Journal, October 2006
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
136 Mendeley
Title
Modelling mathematics problem solving item responses using a multidimensional IRT model
Published in
Mathematics Education Research Journal, October 2006
DOI 10.1007/bf03217438
Authors

Margaret Wu, Raymond Adams

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 3%
Netherlands 1 <1%
Bulgaria 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 128 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 21%
Student > Master 26 19%
Lecturer 12 9%
Researcher 9 7%
Other 8 6%
Other 24 18%
Unknown 29 21%
Readers by discipline Count As %
Social Sciences 40 29%
Mathematics 31 23%
Psychology 14 10%
Computer Science 6 4%
Arts and Humanities 2 1%
Other 10 7%
Unknown 33 24%
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 09 March 2010.
All research outputs
#7,483,725
of 22,875,477 outputs
Outputs from Mathematics Education Research Journal
#89
of 333 outputs
Outputs of similar age
#23,530
of 67,670 outputs
Outputs of similar age from Mathematics Education Research Journal
#1
of 1 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 333 research outputs from this source. They receive a mean Attention Score of 3.7. 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 67,670 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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