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Energy-efficient border intrusion detection using wireless sensors network

Overview of attention for article published in EURASIP Journal on Wireless Communications & Networking, March 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Energy-efficient border intrusion detection using wireless sensors network
Published in
EURASIP Journal on Wireless Communications & Networking, March 2014
DOI 10.1186/1687-1499-2014-46
Authors

Tao Yang, Dejun Mu, Wei Hu, HuiXiang Zhang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Student > Doctoral Student 4 19%
Student > Master 3 14%
Professor 1 5%
Researcher 1 5%
Other 1 5%
Unknown 4 19%
Readers by discipline Count As %
Engineering 9 43%
Computer Science 7 33%
Chemistry 1 5%
Unknown 4 19%

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 07 August 2020.
All research outputs
#10,060,217
of 15,795,316 outputs
Outputs from EURASIP Journal on Wireless Communications & Networking
#195
of 453 outputs
Outputs of similar age
#146,530
of 249,593 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications & Networking
#1
of 1 outputs
Altmetric has tracked 15,795,316 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 453 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 45th percentile – i.e., 45% 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 249,593 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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