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Explaining the user experience of recommender systems

Overview of attention for article published in User Modeling and User-Adapted Interaction, March 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 216)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
40 X users

Citations

dimensions_citation
517 Dimensions

Readers on

mendeley
1012 Mendeley
citeulike
3 CiteULike
Title
Explaining the user experience of recommender systems
Published in
User Modeling and User-Adapted Interaction, March 2012
DOI 10.1007/s11257-011-9118-4
Authors

Bart P. Knijnenburg, Martijn C. Willemsen, Zeno Gantner, Hakan Soncu, Chris Newell

X Demographics

X Demographics

The data shown below were collected from the profiles of 40 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 1,012 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 7 <1%
United States 5 <1%
Spain 5 <1%
Brazil 5 <1%
United Kingdom 3 <1%
Korea, Republic of 3 <1%
Austria 2 <1%
Denmark 2 <1%
Netherlands 2 <1%
Other 11 1%
Unknown 967 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 214 21%
Student > Master 208 21%
Student > Bachelor 100 10%
Researcher 84 8%
Student > Doctoral Student 43 4%
Other 147 15%
Unknown 216 21%
Readers by discipline Count As %
Computer Science 431 43%
Business, Management and Accounting 90 9%
Engineering 65 6%
Psychology 44 4%
Design 38 4%
Other 101 10%
Unknown 243 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 29 November 2019.
All research outputs
#1,346,625
of 25,998,826 outputs
Outputs from User Modeling and User-Adapted Interaction
#2
of 216 outputs
Outputs of similar age
#6,901
of 173,103 outputs
Outputs of similar age from User Modeling and User-Adapted Interaction
#2
of 5 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 216 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 99% 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 173,103 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% 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 3 of them.