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Best proximity point theorems for reckoning optimal approximate solutions

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

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

Mentioned by

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1 Facebook page

Citations

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11 Dimensions

Readers on

mendeley
3 Mendeley
Title
Best proximity point theorems for reckoning optimal approximate solutions
Published in
Fixed Point Theory and Algorithms for Sciences and Engineering, November 2012
DOI 10.1186/1687-1812-2012-202
Authors

S Sadiq Basha, N Shahzad, R Jeyaraj

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Mathematics 2 67%
Social Sciences 1 33%
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 12 November 2012.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Fixed Point Theory and Algorithms for Sciences and Engineering
#49
of 185 outputs
Outputs of similar age
#172,716
of 193,286 outputs
Outputs of similar age from Fixed Point Theory and Algorithms for Sciences and Engineering
#3
of 35 outputs
Altmetric has tracked 25,374,647 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 193,286 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 35 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.