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Predicting links in ego-networks using temporal information

Overview of attention for article published in EPJ Data Science, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
18 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
45 Mendeley
Title
Predicting links in ego-networks using temporal information
Published in
EPJ Data Science, January 2016
DOI 10.1140/epjds/s13688-015-0062-0
Authors

Lionel Tabourier, Anne-Sophie Libert, Renaud Lambiotte

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Netherlands 1 2%
Sri Lanka 1 2%
France 1 2%
Unknown 41 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Researcher 8 18%
Professor > Associate Professor 5 11%
Student > Master 5 11%
Lecturer > Senior Lecturer 3 7%
Other 6 13%
Unknown 6 13%
Readers by discipline Count As %
Computer Science 16 36%
Physics and Astronomy 7 16%
Mathematics 5 11%
Engineering 4 9%
Social Sciences 3 7%
Other 2 4%
Unknown 8 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 19 June 2016.
All research outputs
#2,871,407
of 22,487,039 outputs
Outputs from EPJ Data Science
#225
of 368 outputs
Outputs of similar age
#56,527
of 408,642 outputs
Outputs of similar age from EPJ Data Science
#17
of 24 outputs
Altmetric has tracked 22,487,039 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 368 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.1. This one is in the 39th percentile – i.e., 39% 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 408,642 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 24 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.