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Identifying and exploiting homogeneous communities in labeled networks

Overview of attention for article published in Applied Network Science, August 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)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
5 Mendeley
Title
Identifying and exploiting homogeneous communities in labeled networks
Published in
Applied Network Science, August 2020
DOI 10.1007/s41109-020-00302-1
Authors

Salvatore Citraro, Giulio Rossetti

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 20%
Student > Doctoral Student 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Researcher 1 20%
Other 0 0%
Readers by discipline Count As %
Computer Science 3 60%
Linguistics 1 20%
Unknown 1 20%
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 04 November 2020.
All research outputs
#4,795,244
of 23,232,430 outputs
Outputs from Applied Network Science
#138
of 512 outputs
Outputs of similar age
#115,732
of 399,261 outputs
Outputs of similar age from Applied Network Science
#6
of 38 outputs
Altmetric has tracked 23,232,430 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 512 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 73% 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 399,261 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 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.