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User Recommendations in Reciprocal and Bipartite Social Networks--An Online Dating Case Study

Overview of attention for article published in IEEE Intelligent Systems, October 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 726)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
7 news outlets
blogs
2 blogs
twitter
14 X users
googleplus
1 Google+ user
podcasts
1 podcast

Readers on

mendeley
61 Mendeley
citeulike
1 CiteULike
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Article details
Title
User Recommendations in Reciprocal and Bipartite Social Networks--An Online Dating Case Study
Published in
IEEE Intelligent Systems, October 2013
DOI 10.1109/mis.2013.104
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 61 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 %
France 2 3%
United States 1 2%
Sri Lanka 1 2%
Finland 1 2%
Germany 1 2%
Brazil 1 2%
Unknown 54 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 26%
Student > Master 16 26%
Researcher 5 8%
Other 4 7%
Professor > Associate Professor 4 7%
Other 8 13%
Unknown 8 13%
Readers by discipline
Readers by discipline Count As %
Computer Science 30 49%
Business, Management and Accounting 6 10%
Engineering 5 8%
Psychology 4 7%
Agricultural and Biological Sciences 2 3%
Other 6 10%
Unknown 8 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 26 December 2017.
All research outputs
#672,442
of 34,146,727 outputs
Outputs from IEEE Intelligent Systems
#6
of 726 outputs
Outputs of similar age
#4,719
of 258,401 outputs
Outputs of similar age from IEEE Intelligent Systems
#1
of 10 outputs
Altmetric has tracked 34,146,727 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 726 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 258,401 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 98% of its contemporaries.
We're also able to compare this research output to 10 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