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Community-based time segmentation from network snapshots

Overview of attention for article published in Applied Network Science, May 2019
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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)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
6 Mendeley
Title
Community-based time segmentation from network snapshots
Published in
Applied Network Science, May 2019
DOI 10.1007/s41109-019-0136-1
Authors

Thomas Magelinski, Kathleen M. Carley

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 17%
Professor 1 17%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Student > Postgraduate 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 1 17%
Agricultural and Biological Sciences 1 17%
Psychology 1 17%
Engineering 1 17%
Unknown 2 33%
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 14 June 2019.
All research outputs
#5,114,375
of 24,960,237 outputs
Outputs from Applied Network Science
#130
of 575 outputs
Outputs of similar age
#95,849
of 356,344 outputs
Outputs of similar age from Applied Network Science
#12
of 31 outputs
Altmetric has tracked 24,960,237 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 575 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done well, scoring higher than 77% 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 356,344 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 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.