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Identifying network structure similarity using spectral graph theory

Overview of attention for article published in Applied Network Science, January 2018
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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 (73rd percentile)

Mentioned by

twitter
5 tweeters
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Identifying network structure similarity using spectral graph theory
Published in
Applied Network Science, January 2018
DOI 10.1007/s41109-017-0042-3
Authors

Ralucca Gera, L. Alonso, Brian Crawford, Jeffrey House, J. A. Mendez-Bermudez, Thomas Knuth, Ryan Miller

Twitter Demographics

The data shown below were collected from the profiles of 5 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 25%
Student > Master 6 13%
Researcher 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 3 6%
Other 5 10%
Unknown 13 27%
Readers by discipline Count As %
Computer Science 9 19%
Engineering 7 15%
Physics and Astronomy 3 6%
Agricultural and Biological Sciences 3 6%
Mathematics 2 4%
Other 8 17%
Unknown 16 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 April 2018.
All research outputs
#2,919,321
of 12,788,180 outputs
Outputs from Applied Network Science
#56
of 109 outputs
Outputs of similar age
#92,296
of 346,016 outputs
Outputs of similar age from Applied Network Science
#1
of 1 outputs
Altmetric has tracked 12,788,180 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 109 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one is in the 47th percentile – i.e., 47% 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 346,016 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 73% 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