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K-NN query algorithm based on PB-tree with the parallel lines division

Overview of attention for article published in MUX: the Journal of Mobile User Experience, November 2012
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Mentioned by

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1 Facebook page

Readers on

mendeley
2 Mendeley
Title
K-NN query algorithm based on PB-tree with the parallel lines division
Published in
MUX: the Journal of Mobile User Experience, November 2012
DOI 10.1186/2192-1121-1-10
Authors

Jine Tang, ZhangBing Zhou, Qun Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%
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 30 November 2012.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from MUX: the Journal of Mobile User Experience
#9
of 9 outputs
Outputs of similar age
#255,741
of 285,734 outputs
Outputs of similar age from MUX: the Journal of Mobile User Experience
#2
of 2 outputs
Altmetric has tracked 25,394,764 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 9 research outputs from this source. They receive a mean Attention Score of 2.6. This one scored the same or higher as 0 of them.
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 285,734 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 2 others from the same source and published within six weeks on either side of this one.