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Kernel function based interior-point methods for horizontal linear complementarity problems

Overview of attention for article published in Journal of Inequalities and Applications, April 2013
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Title
Kernel function based interior-point methods for horizontal linear complementarity problems
Published in
Journal of Inequalities and Applications, April 2013
DOI 10.1186/1029-242x-2013-215
Authors

Yong-Hoon Lee, You-Young Cho, Gyeong-Mi Cho

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 Journal of Inequalities and Applications
#107
of 175 outputs
Outputs of similar age
#178,591
of 204,180 outputs
Outputs of similar age from Journal of Inequalities and Applications
#3
of 37 outputs
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So far Altmetric has tracked 175 research outputs from this source. They receive a mean Attention Score of 1.7. 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 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.