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How should I explain? A comparison of different explanation types for recommender systems

Overview of attention for article published in International Journal of Human-Computer Studies, April 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
2 patents

Readers on

mendeley
383 Mendeley
citeulike
3 CiteULike
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Article details
Title
How should I explain? A comparison of different explanation types for recommender systems
Published in
International Journal of Human-Computer Studies, April 2014
DOI 10.1016/j.ijhcs.2013.12.007
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 383 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Turkey 1 <1%
Norway 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
France 1 <1%
Spain 1 <1%
Germany 1 <1%
Unknown 376 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 79 21%
Student > Ph. D. Student 76 20%
Student > Bachelor 32 8%
Researcher 27 7%
Student > Doctoral Student 15 4%
Other 52 14%
Unknown 102 27%
Readers by discipline
Readers by discipline Count As %
Computer Science 167 44%
Business, Management and Accounting 31 8%
Engineering 18 5%
Psychology 14 4%
Social Sciences 10 3%
Other 24 6%
Unknown 119 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 February 2026.
All research outputs
#9,515,628
of 27,781,301 outputs
Outputs from International Journal of Human-Computer Studies
#424
of 1,235 outputs
Outputs of similar age
#84,521
of 243,144 outputs
Outputs of similar age from International Journal of Human-Computer Studies
#9
of 11 outputs
Altmetric has tracked 27,781,301 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,235 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 42nd percentile – i.e., 42% 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 243,144 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.