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Balancing the Fluency-Consistency Tradeoff in Collaborative Information Search with a Recommender Approach

Overview of attention for article published in International Journal of Human-Computer Interaction, October 2017
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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 (#47 of 526)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Readers on

mendeley
33 Mendeley
Title
Balancing the Fluency-Consistency Tradeoff in Collaborative Information Search with a Recommender Approach
Published in
International Journal of Human-Computer Interaction, October 2017
DOI 10.1080/10447318.2017.1379240
Authors

Paul Seitlinger, Tobias Ley, Dominik Kowald, Dieter Theiler, Ilire Hasani-Mavriqi, Sebastian Dennerlein, Elisabeth Lex, Dietrich Albert

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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 12%
Other 3 9%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Student > Master 3 9%
Other 7 21%
Unknown 10 30%
Readers by discipline Count As %
Computer Science 8 24%
Psychology 6 18%
Economics, Econometrics and Finance 2 6%
Business, Management and Accounting 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 3 9%
Unknown 12 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 April 2019.
All research outputs
#2,434,901
of 23,590,588 outputs
Outputs from International Journal of Human-Computer Interaction
#47
of 526 outputs
Outputs of similar age
#48,347
of 325,248 outputs
Outputs of similar age from International Journal of Human-Computer Interaction
#3
of 13 outputs
Altmetric has tracked 23,590,588 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 526 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 91% 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 325,248 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 85% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.