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Feature-rich networks: going beyond complex network topologies

Overview of attention for article published in Applied Network Science, January 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
60 Mendeley
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Title
Feature-rich networks: going beyond complex network topologies
Published in
Applied Network Science, January 2019
DOI 10.1007/s41109-019-0111-x
Authors

Roberto Interdonato, Martin Atzmueller, Sabrina Gaito, Rushed Kanawati, Christine Largeron, Alessandra Sala

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 20%
Student > Ph. D. Student 10 17%
Researcher 4 7%
Student > Doctoral Student 3 5%
Professor 1 2%
Other 3 5%
Unknown 27 45%
Readers by discipline Count As %
Computer Science 15 25%
Engineering 3 5%
Mathematics 2 3%
Medicine and Dentistry 2 3%
Neuroscience 2 3%
Other 7 12%
Unknown 29 48%
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 21 November 2023.
All research outputs
#7,188,838
of 25,380,192 outputs
Outputs from Applied Network Science
#190
of 581 outputs
Outputs of similar age
#139,985
of 451,135 outputs
Outputs of similar age from Applied Network Science
#5
of 8 outputs
Altmetric has tracked 25,380,192 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 581 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 66% 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 451,135 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 68% of its contemporaries.
We're also able to compare this research output to 8 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.