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A projection method for approximating fixed points of quasinonexpansive mappings in Hadamard spaces

Overview of attention for article published in Fixed Point Theory and Algorithms for Sciences and Engineering, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 185)
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
1 Mendeley
Title
A projection method for approximating fixed points of quasinonexpansive mappings in Hadamard spaces
Published in
Fixed Point Theory and Algorithms for Sciences and Engineering, March 2016
DOI 10.1186/s13663-016-0523-6
Authors

Shuechin Huang, Yasunori Kimura

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Mathematics 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 March 2016.
All research outputs
#4,836,164
of 25,374,647 outputs
Outputs from Fixed Point Theory and Algorithms for Sciences and Engineering
#2
of 185 outputs
Outputs of similar age
#70,226
of 314,938 outputs
Outputs of similar age from Fixed Point Theory and Algorithms for Sciences and Engineering
#1
of 2 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 185 research outputs from this source. They receive a mean Attention Score of 0.7. This one has done particularly well, scoring higher than 98% of its peers.
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 314,938 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
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. This one has scored higher than all of them