↓ Skip to main content

Efficiently identifying critical nodes in large complex networks

Overview of attention for article published in Computational Social Networks, March 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

googleplus
1 Google+ user

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
57 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

The data shown below were compiled from readership statistics for 57 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 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Student > Master 13 23%
Researcher 6 11%
Professor 4 7%
Student > Doctoral Student 2 4%
Other 8 14%
Unknown 10 18%
Readers by discipline Count As %
Computer Science 19 33%
Engineering 11 19%
Mathematics 3 5%
Business, Management and Accounting 2 4%
Social Sciences 2 4%
Other 8 14%
Unknown 12 21%

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
#4,277,743
of 8,088,508 outputs
Outputs from Computational Social Networks
#3
of 17 outputs
Outputs of similar age
#141,372
of 257,295 outputs
Outputs of similar age from Computational Social Networks
#1
of 2 outputs
Altmetric has tracked 8,088,508 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 14 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 257,295 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% 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