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Investigating variation in learning processes in a FutureLearn MOOC

Overview of attention for article published in Journal of Computing in Higher Education, June 2019
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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 (#45 of 257)
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
137 Mendeley
Title
Investigating variation in learning processes in a FutureLearn MOOC
Published in
Journal of Computing in Higher Education, June 2019
DOI 10.1007/s12528-019-09231-0
Authors

Saman Rizvi, Bart Rienties, Jekaterina Rogaten, René F. Kizilcec

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 18%
Student > Master 12 9%
Lecturer 11 8%
Researcher 10 7%
Other 7 5%
Other 30 22%
Unknown 42 31%
Readers by discipline Count As %
Computer Science 29 21%
Social Sciences 21 15%
Engineering 8 6%
Psychology 5 4%
Arts and Humanities 5 4%
Other 17 12%
Unknown 52 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 March 2020.
All research outputs
#5,584,966
of 23,150,406 outputs
Outputs from Journal of Computing in Higher Education
#45
of 257 outputs
Outputs of similar age
#99,452
of 353,108 outputs
Outputs of similar age from Journal of Computing in Higher Education
#1
of 7 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 257 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 353,108 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 71% of its contemporaries.
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. This one has scored higher than all of them