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Link transmission centrality in large-scale social networks

Overview of attention for article published in EPJ Data Science, September 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 316)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

twitter
136 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
50 Mendeley
Title
Link transmission centrality in large-scale social networks
Published in
EPJ Data Science, September 2018
DOI 10.1140/epjds/s13688-018-0162-8
Authors

Qian Zhang, Márton Karsai, Alessandro Vespignani

Twitter Demographics

The data shown below were collected from the profiles of 136 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 34%
Researcher 9 18%
Student > Master 6 12%
Student > Bachelor 5 10%
Student > Doctoral Student 3 6%
Other 7 14%
Unknown 3 6%
Readers by discipline Count As %
Computer Science 13 26%
Mathematics 6 12%
Social Sciences 6 12%
Physics and Astronomy 6 12%
Engineering 4 8%
Other 10 20%
Unknown 5 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 82. 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 09 January 2019.
All research outputs
#364,753
of 20,087,409 outputs
Outputs from EPJ Data Science
#32
of 316 outputs
Outputs of similar age
#9,464
of 291,235 outputs
Outputs of similar age from EPJ Data Science
#1
of 1 outputs
Altmetric has tracked 20,087,409 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 316 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 48.8. This one has done well, scoring higher than 89% 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 291,235 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 96% of its contemporaries.
We're also able to compare this research output to 1 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