↓ Skip to main content

Graph neural network inspired algorithm for unsupervised network community detection

Overview of attention for article published in Applied Network Science, September 2022
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
15 Mendeley
Title
Graph neural network inspired algorithm for unsupervised network community detection
Published in
Applied Network Science, September 2022
DOI 10.1007/s41109-022-00500-z
Authors

Stanislav Sobolevsky, Alexander Belyi

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 13%
Unspecified 1 7%
Student > Ph. D. Student 1 7%
Student > Doctoral Student 1 7%
Unknown 10 67%
Readers by discipline Count As %
Computer Science 2 13%
Unspecified 1 7%
Physics and Astronomy 1 7%
Engineering 1 7%
Unknown 10 67%
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 08 September 2022.
All research outputs
#7,335,034
of 25,578,098 outputs
Outputs from Applied Network Science
#201
of 583 outputs
Outputs of similar age
#132,068
of 433,467 outputs
Outputs of similar age from Applied Network Science
#4
of 20 outputs
Altmetric has tracked 25,578,098 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 583 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 gotten more attention than average, scoring higher than 65% 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 433,467 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 69% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.