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A supply chain network game theory model of cybersecurity investments with nonlinear budget constraints

Overview of attention for article published in Annals of Operations Research, April 2016
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2 X users

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100 Mendeley
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Title
A supply chain network game theory model of cybersecurity investments with nonlinear budget constraints
Published in
Annals of Operations Research, April 2016
DOI 10.1007/s10479-016-2209-1
Authors

Anna Nagurney, Patrizia Daniele, Shivani Shukla

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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 21%
Student > Master 15 15%
Researcher 7 7%
Professor 6 6%
Student > Doctoral Student 6 6%
Other 19 19%
Unknown 26 26%
Readers by discipline Count As %
Business, Management and Accounting 17 17%
Computer Science 15 15%
Engineering 12 12%
Economics, Econometrics and Finance 7 7%
Unspecified 6 6%
Other 8 8%
Unknown 35 35%
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 22 September 2018.
All research outputs
#17,800,994
of 22,867,327 outputs
Outputs from Annals of Operations Research
#548
of 725 outputs
Outputs of similar age
#205,075
of 299,065 outputs
Outputs of similar age from Annals of Operations Research
#6
of 7 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 725 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 23rd percentile – i.e., 23% 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 299,065 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 7 others from the same source and published within six weeks on either side of this one.