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Efficiently identifying critical nodes in large complex networks

Overview of attention for article published in Computational Social Networks, March 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

googleplus
1 Google+ user

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
62 Mendeley
Title
Efficiently identifying critical nodes in large complex networks
Published in
Computational Social Networks, March 2015
DOI 10.1186/s40649-015-0010-y
Authors

Mario Ventresca, Dionne Aleman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Canada 1 2%
Unknown 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 24%
Student > Master 14 23%
Researcher 7 11%
Professor 4 6%
Student > Doctoral Student 2 3%
Other 8 13%
Unknown 12 19%
Readers by discipline Count As %
Computer Science 22 35%
Engineering 11 18%
Mathematics 3 5%
Business, Management and Accounting 2 3%
Social Sciences 2 3%
Other 8 13%
Unknown 14 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 July 2016.
All research outputs
#15,380,359
of 22,881,154 outputs
Outputs from Computational Social Networks
#25
of 40 outputs
Outputs of similar age
#157,349
of 263,902 outputs
Outputs of similar age from Computational Social Networks
#1
of 2 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 40 research outputs from this source. They receive a mean Attention Score of 3.9. This one scored the same or higher as 15 of them.
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 263,902 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them