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Adaptive CSI and feedback estimation in LTE and beyond: a Gaussian process regression approach

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, June 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
27 Mendeley
Title
Adaptive CSI and feedback estimation in LTE and beyond: a Gaussian process regression approach
Published in
EURASIP Journal on Wireless Communications and Networking, June 2015
DOI 10.1186/s13638-015-0388-0
Authors

Alessandro Chiumento, Mehdi Bennis, Claude Desset, Liesbet Van der Perre, Sofie Pollin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 22%
Student > Bachelor 4 15%
Student > Doctoral Student 2 7%
Student > Ph. D. Student 2 7%
Lecturer > Senior Lecturer 1 4%
Other 3 11%
Unknown 9 33%
Readers by discipline Count As %
Engineering 9 33%
Computer Science 6 22%
Psychology 1 4%
Arts and Humanities 1 4%
Unknown 10 37%
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 23 November 2017.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#104
of 549 outputs
Outputs of similar age
#95,975
of 278,770 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#3
of 10 outputs
Altmetric has tracked 25,374,647 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 278,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
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 7 of them.