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Factor graph based detection approach for high-mobility OFDM systems with large FFT modes

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, October 2012
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Mentioned by

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1 Facebook page

Citations

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6 Dimensions

Readers on

mendeley
9 Mendeley
Title
Factor graph based detection approach for high-mobility OFDM systems with large FFT modes
Published in
EURASIP Journal on Wireless Communications and Networking, October 2012
DOI 10.1186/1687-1499-2012-331
Authors

Pello Ochandiano, Henk Wymeersch, Mikel Mendicute, Lorena Martínez, Iker Sobrón

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Librarian 1 11%
Lecturer 1 11%
Student > Master 1 11%
Unknown 3 33%
Readers by discipline Count As %
Engineering 5 56%
Computer Science 1 11%
Unknown 3 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 31 October 2012.
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
#181,506
of 202,324 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#8
of 37 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 202,324 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 37 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.