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Teaching Recommender Systems at Large Scale: Evaluation and Lessons Learned from a Hybrid MOOC

Overview of attention for article published in ACM Transactions on Computer-Human Interaction, April 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
3 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
46 Mendeley
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Title
Teaching Recommender Systems at Large Scale: Evaluation and Lessons Learned from a Hybrid MOOC
Published in
ACM Transactions on Computer-Human Interaction, April 2015
DOI 10.1145/2728171
Authors

Joseph A. Konstan, J. D. Walker, D. Christopher Brooks, Keith Brown, Michael D. Ekstrand

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 4%
United States 2 4%
Germany 1 2%
Finland 1 2%
France 1 2%
Unknown 39 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Student > Doctoral Student 9 20%
Student > Master 9 20%
Researcher 5 11%
Student > Bachelor 3 7%
Other 7 15%
Readers by discipline Count As %
Computer Science 26 57%
Unspecified 5 11%
Social Sciences 5 11%
Linguistics 2 4%
Arts and Humanities 2 4%
Other 6 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 October 2016.
All research outputs
#2,852,284
of 11,332,076 outputs
Outputs from ACM Transactions on Computer-Human Interaction
#95
of 329 outputs
Outputs of similar age
#60,288
of 213,161 outputs
Outputs of similar age from ACM Transactions on Computer-Human Interaction
#1
of 5 outputs
Altmetric has tracked 11,332,076 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 329 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 70% 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 213,161 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 5 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