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Implicit eigenvalue problems for maximal monotone operators

Overview of attention for article published in Fixed Point Theory and Algorithms for Sciences and Engineering, October 2012
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  • Among the highest-scoring outputs from this source (#49 of 185)

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Title
Implicit eigenvalue problems for maximal monotone operators
Published in
Fixed Point Theory and Algorithms for Sciences and Engineering, October 2012
DOI 10.1186/1687-1812-2012-178
Authors

In-Sook Kim

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 17 October 2012.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Fixed Point Theory and Algorithms for Sciences and Engineering
#49
of 185 outputs
Outputs of similar age
#173,038
of 193,282 outputs
Outputs of similar age from Fixed Point Theory and Algorithms for Sciences and Engineering
#2
of 32 outputs
Altmetric has tracked 25,373,627 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 185 research outputs from this source. They receive a mean Attention Score of 0.7. 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 193,282 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 32 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.