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Viscosity iteration methods for a split feasibility problem and a mixed equilibrium problem in a Hilbert space

Overview of attention for article published in Fixed Point Theory and Algorithms for Sciences and Engineering, December 2012
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About this Attention Score

  • Among the highest-scoring outputs from this source (#49 of 185)

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1 Facebook page

Readers on

mendeley
2 Mendeley
Title
Viscosity iteration methods for a split feasibility problem and a mixed equilibrium problem in a Hilbert space
Published in
Fixed Point Theory and Algorithms for Sciences and Engineering, December 2012
DOI 10.1186/1687-1812-2012-226
Authors

Bin-Chao Deng, Tong Chen, Qiao-Li Dong

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 %
Iran, Islamic Republic of 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Mathematics 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 14 December 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
#256,277
of 286,410 outputs
Outputs of similar age from Fixed Point Theory and Algorithms for Sciences and Engineering
#3
of 37 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 286,410 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.