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Evaluating recommender systems from the user’s perspective: survey of the state of the art

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
  • Among the highest-scoring outputs from this source (#43 of 221)
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

twitter
4 X users
patent
1 patent

Citations

dimensions_citation
246 Dimensions

Readers on

mendeley
540 Mendeley
citeulike
2 CiteULike
Title
Evaluating recommender systems from the user’s perspective: survey of the state of the art
Published in
User Modeling and User-Adapted Interaction, March 2012
DOI 10.1007/s11257-011-9115-7
Authors

Pearl Pu, Li Chen, Rong Hu

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 540 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 9 2%
United States 5 <1%
Portugal 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Chile 1 <1%
Pakistan 1 <1%
Korea, Republic of 1 <1%
Ecuador 1 <1%
Other 11 2%
Unknown 506 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 132 24%
Student > Ph. D. Student 116 21%
Student > Bachelor 54 10%
Researcher 39 7%
Student > Doctoral Student 31 6%
Other 76 14%
Unknown 92 17%
Readers by discipline Count As %
Computer Science 278 51%
Business, Management and Accounting 52 10%
Engineering 29 5%
Social Sciences 19 4%
Psychology 13 2%
Other 39 7%
Unknown 110 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 16 January 2017.
All research outputs
#5,466,525
of 26,017,215 outputs
Outputs from User Modeling and User-Adapted Interaction
#43
of 221 outputs
Outputs of similar age
#34,362
of 172,944 outputs
Outputs of similar age from User Modeling and User-Adapted Interaction
#4
of 5 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 221 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 79% 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 172,944 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% 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.