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NLOS Identification and Weighted Least-Squares Localization for UWB Systems Using Multipath Channel Statistics

Overview of attention for article published in ADS, August 2007
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Mentioned by

patent
1 patent

Citations

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262 Dimensions

Readers on

mendeley
70 Mendeley
Title
NLOS Identification and Weighted Least-Squares Localization for UWB Systems Using Multipath Channel Statistics
Published in
ADS, August 2007
DOI 10.1155/2008/271984
Authors

İsmail Güvenç, Chia-Chin Chong, Fujio Watanabe, Hiroshi Inamura

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Germany 1 1%
Italy 1 1%
Singapore 1 1%
Unknown 66 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Student > Master 14 20%
Researcher 10 14%
Student > Bachelor 4 6%
Student > Doctoral Student 3 4%
Other 4 6%
Unknown 13 19%
Readers by discipline Count As %
Engineering 43 61%
Computer Science 11 16%
Mathematics 2 3%
Chemistry 1 1%
Unknown 13 19%
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 10 April 2024.
All research outputs
#8,704,022
of 25,784,004 outputs
Outputs from ADS
#7,453
of 26,253 outputs
Outputs of similar age
#28,249
of 76,699 outputs
Outputs of similar age from ADS
#27
of 93 outputs
Altmetric has tracked 25,784,004 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 26,253 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 32nd percentile – i.e., 32% 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 76,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.