↓ Skip to main content

What recommenders recommend: an analysis of recommendation biases and possible countermeasures

Overview of attention for article published in User Modeling and User-Adapted Interaction, July 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 191)
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

policy
1 policy source
twitter
12 X users
facebook
1 Facebook page

Citations

dimensions_citation
169 Dimensions

Readers on

mendeley
105 Mendeley
citeulike
1 CiteULike
Title
What recommenders recommend: an analysis of recommendation biases and possible countermeasures
Published in
User Modeling and User-Adapted Interaction, July 2015
DOI 10.1007/s11257-015-9165-3
Authors

Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh, Michael Jugovac

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Brazil 1 <1%
Unknown 101 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 24%
Student > Master 10 10%
Student > Bachelor 10 10%
Student > Doctoral Student 8 8%
Researcher 7 7%
Other 13 12%
Unknown 32 30%
Readers by discipline Count As %
Computer Science 44 42%
Business, Management and Accounting 10 10%
Engineering 5 5%
Linguistics 2 2%
Unspecified 1 <1%
Other 4 4%
Unknown 39 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 20 December 2022.
All research outputs
#2,841,702
of 23,911,072 outputs
Outputs from User Modeling and User-Adapted Interaction
#11
of 191 outputs
Outputs of similar age
#36,382
of 266,519 outputs
Outputs of similar age from User Modeling and User-Adapted Interaction
#1
of 2 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 191 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 94% 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 266,519 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 86% of its contemporaries.
We're also able to compare this research output to 2 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