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A graph exploration method for identifying influential spreaders in complex networks

Overview of attention for article published in Applied Network Science, August 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
5 X users
facebook
2 Facebook pages

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
26 Mendeley
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Title
A graph exploration method for identifying influential spreaders in complex networks
Published in
Applied Network Science, August 2017
DOI 10.1007/s41109-017-0047-y
Pubmed ID
Authors

Nikos Salamanos, Elli Voudigari, Emmanuel J. Yannakoudakis

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 46%
Researcher 3 12%
Professor > Associate Professor 3 12%
Student > Doctoral Student 2 8%
Student > Master 1 4%
Other 3 12%
Unknown 2 8%
Readers by discipline Count As %
Computer Science 10 38%
Social Sciences 3 12%
Physics and Astronomy 3 12%
Mathematics 2 8%
Engineering 2 8%
Other 3 12%
Unknown 3 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 November 2017.
All research outputs
#7,222,908
of 22,997,544 outputs
Outputs from Applied Network Science
#201
of 505 outputs
Outputs of similar age
#114,852
of 317,683 outputs
Outputs of similar age from Applied Network Science
#5
of 11 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 59% 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 317,683 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 63% of its contemporaries.
We're also able to compare this research output to 11 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 54% of its contemporaries.