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A Robust on-Demand Path-Key Establishment Framework via Random Key Predistribution for Wireless Sensor Networks

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, March 2006
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Mentioned by

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4 patents

Citations

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12 Dimensions

Readers on

mendeley
10 Mendeley
Title
A Robust on-Demand Path-Key Establishment Framework via Random Key Predistribution for Wireless Sensor Networks
Published in
EURASIP Journal on Wireless Communications and Networking, March 2006
DOI 10.1155/wcn/2006/91304
Authors

Guanfeng Li, Hui Ling, Taieb Znati, Weili Wu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 3 30%
Unknown 7 70%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 60%
Student > Bachelor 1 10%
Researcher 1 10%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 7 70%
Agricultural and Biological Sciences 1 10%
Unknown 2 20%
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 28 May 2019.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#104
of 549 outputs
Outputs of similar age
#29,490
of 86,028 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#4
of 10 outputs
Altmetric has tracked 25,374,917 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 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 86,028 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% 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. This one has scored higher than 6 of them.