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Fixed point theorems for a class of maps in normed Boolean vector spaces

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

  • One of the highest-scoring outputs from this source (#9 of 185)
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
2 Mendeley
Title
Fixed point theorems for a class of maps in normed Boolean vector spaces
Published in
Fixed Point Theory and Algorithms for Sciences and Engineering, March 2012
DOI 10.1186/1687-1812-2012-47
Authors

Swaminath Mishra, Rajendra Pant, Venkat Murali

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 %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Computer Science 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 March 2013.
All research outputs
#6,754,462
of 25,374,917 outputs
Outputs from Fixed Point Theory and Algorithms for Sciences and Engineering
#9
of 185 outputs
Outputs of similar age
#43,341
of 172,566 outputs
Outputs of similar age from Fixed Point Theory and Algorithms for Sciences and Engineering
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
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 95% 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 172,566 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 1 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