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Dynamic graphs, community detection, and Riemannian geometry

Overview of attention for article published in Applied Network Science, March 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
8 X users
facebook
2 Facebook pages

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
32 Mendeley
Title
Dynamic graphs, community detection, and Riemannian geometry
Published in
Applied Network Science, March 2018
DOI 10.1007/s41109-018-0059-2
Pubmed ID
Authors

Craig Bakker, Mahantesh Halappanavar, Arun Visweswara Sathanur

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 22%
Student > Ph. D. Student 5 16%
Researcher 4 13%
Student > Doctoral Student 3 9%
Lecturer 1 3%
Other 4 13%
Unknown 8 25%
Readers by discipline Count As %
Computer Science 10 31%
Engineering 5 16%
Physics and Astronomy 2 6%
Mathematics 1 3%
Agricultural and Biological Sciences 1 3%
Other 3 9%
Unknown 10 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 April 2018.
All research outputs
#6,535,395
of 23,577,654 outputs
Outputs from Applied Network Science
#180
of 514 outputs
Outputs of similar age
#113,099
of 331,210 outputs
Outputs of similar age from Applied Network Science
#2
of 5 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 64% 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 331,210 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 65% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.