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Network science approach to modelling the topology and robustness of supply chain networks: a review and perspective

Overview of attention for article published in Applied Network Science, October 2017
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Mentioned by

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2 X users

Citations

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73 Dimensions

Readers on

mendeley
125 Mendeley
Title
Network science approach to modelling the topology and robustness of supply chain networks: a review and perspective
Published in
Applied Network Science, October 2017
DOI 10.1007/s41109-017-0053-0
Pubmed ID
Authors

Supun Perera, Michael G.H. Bell, Michiel C.J. Bliemer

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 27%
Student > Master 16 13%
Researcher 8 6%
Student > Doctoral Student 7 6%
Student > Bachelor 7 6%
Other 16 13%
Unknown 37 30%
Readers by discipline Count As %
Engineering 21 17%
Business, Management and Accounting 12 10%
Computer Science 8 6%
Economics, Econometrics and Finance 7 6%
Environmental Science 4 3%
Other 30 24%
Unknown 43 34%
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 14 March 2018.
All research outputs
#17,539,395
of 25,713,737 outputs
Outputs from Applied Network Science
#422
of 584 outputs
Outputs of similar age
#214,613
of 334,682 outputs
Outputs of similar age from Applied Network Science
#9
of 10 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 584 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 334,682 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.