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An efficient homomorphic MAC-based scheme against data and tag pollution attacks in network coding-enabled wireless networks

Overview of attention for article published in International Journal of Information Security, September 2016
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Mentioned by

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Citations

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Readers on

mendeley
11 Mendeley
Title
An efficient homomorphic MAC-based scheme against data and tag pollution attacks in network coding-enabled wireless networks
Published in
International Journal of Information Security, September 2016
DOI 10.1007/s10207-016-0351-z
Authors

Alireza Esfahani, Georgios Mantas, Jonathan Rodriguez, José Carlos Neves

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Researcher 2 18%
Student > Master 2 18%
Other 1 9%
Student > Bachelor 1 9%
Other 2 18%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 3 27%
Engineering 2 18%
Social Sciences 1 9%
Unknown 5 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 June 2018.
All research outputs
#12,920,432
of 22,912,409 outputs
Outputs from International Journal of Information Security
#105
of 159 outputs
Outputs of similar age
#159,270
of 320,582 outputs
Outputs of similar age from International Journal of Information Security
#2
of 2 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 159 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one is in the 33rd percentile – i.e., 33% 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 320,582 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% 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.