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An information-theoretic, all-scales approach to comparing networks

Overview of attention for article published in Applied Network Science, July 2019
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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 (#9 of 584)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
146 X users
googleplus
1 Google+ user

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
121 Mendeley
Title
An information-theoretic, all-scales approach to comparing networks
Published in
Applied Network Science, July 2019
DOI 10.1007/s41109-019-0156-x
Authors

James P. Bagrow, Erik M. Bollt

X Demographics

X Demographics

The data shown below were collected from the profiles of 146 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 23%
Researcher 16 13%
Student > Master 14 12%
Student > Bachelor 12 10%
Student > Doctoral Student 10 8%
Other 17 14%
Unknown 24 20%
Readers by discipline Count As %
Computer Science 17 14%
Mathematics 12 10%
Engineering 11 9%
Agricultural and Biological Sciences 10 8%
Physics and Astronomy 8 7%
Other 32 26%
Unknown 31 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 80. 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 15 February 2023.
All research outputs
#540,210
of 25,593,129 outputs
Outputs from Applied Network Science
#9
of 584 outputs
Outputs of similar age
#11,285
of 359,915 outputs
Outputs of similar age from Applied Network Science
#4
of 39 outputs
Altmetric has tracked 25,593,129 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 584 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done particularly well, scoring higher than 98% 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 359,915 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 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.