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Using Learning Analytics to Understand Scientific Modeling in the Classroom

Overview of attention for article published in Frontiers in ICT, November 2017
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Mentioned by

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2 X users
facebook
1 Facebook page

Citations

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3 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Using Learning Analytics to Understand Scientific Modeling in the Classroom
Published in
Frontiers in ICT, November 2017
DOI 10.3389/fict.2017.00024
Authors

David Quigley, Conor McNamara, Jonathan Ostwald, Tamara Sumner

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

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Lecturer 3 9%
Researcher 3 9%
Student > Doctoral Student 2 6%
Other 6 19%
Unknown 10 31%
Readers by discipline Count As %
Computer Science 9 28%
Social Sciences 5 16%
Business, Management and Accounting 2 6%
Arts and Humanities 1 3%
Unspecified 1 3%
Other 2 6%
Unknown 12 38%
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 09 November 2017.
All research outputs
#15,481,888
of 23,006,268 outputs
Outputs from Frontiers in ICT
#83
of 143 outputs
Outputs of similar age
#207,453
of 331,162 outputs
Outputs of similar age from Frontiers in ICT
#6
of 7 outputs
Altmetric has tracked 23,006,268 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 7.8. This one is in the 37th percentile – i.e., 37% 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 331,162 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 7 others from the same source and published within six weeks on either side of this one.