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Universal evolution patterns of degree assortativity in social networks

Overview of attention for article published in Social Networks, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Universal evolution patterns of degree assortativity in social networks
Published in
Social Networks, October 2020
DOI 10.1016/j.socnet.2020.04.004
Authors

Bin Zhou, Xin Lu, Petter Holme

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Student > Doctoral Student 5 15%
Lecturer 4 12%
Student > Bachelor 3 9%
Professor > Associate Professor 3 9%
Other 5 15%
Unknown 8 24%
Readers by discipline Count As %
Business, Management and Accounting 7 21%
Social Sciences 5 15%
Mathematics 3 9%
Computer Science 3 9%
Engineering 2 6%
Other 4 12%
Unknown 10 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 08 June 2020.
All research outputs
#5,403,241
of 25,387,668 outputs
Outputs from Social Networks
#266
of 957 outputs
Outputs of similar age
#125,502
of 432,252 outputs
Outputs of similar age from Social Networks
#6
of 14 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 957 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 72% 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 432,252 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.