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Joint time-frequency domain cyclostationarity-based approach to blind estimation of OFDM transmission parameters

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, April 2013
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1 Facebook page

Citations

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11 Dimensions

Readers on

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6 Mendeley
Title
Joint time-frequency domain cyclostationarity-based approach to blind estimation of OFDM transmission parameters
Published in
EURASIP Journal on Wireless Communications and Networking, April 2013
DOI 10.1186/1687-1499-2013-117
Authors

Zhuo Sun, Ruzhe Liu, Wenbo Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 17%
China 1 17%
Unknown 4 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Researcher 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 3 50%
Computer Science 1 17%
Unknown 2 33%
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 29 April 2013.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#415
of 549 outputs
Outputs of similar age
#178,589
of 204,180 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#3
of 30 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 is in the 1st percentile – i.e., 1% 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 204,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.