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Sharp bounds for the Neuman mean in terms of the quadratic and second Seiffert means

Overview of attention for article published in Journal of Inequalities and Applications, August 2014
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About this Attention Score

  • Among the highest-scoring outputs from this source (#11 of 175)
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
2 Mendeley
Title
Sharp bounds for the Neuman mean in terms of the quadratic and second Seiffert means
Published in
Journal of Inequalities and Applications, August 2014
DOI 10.1186/1029-242x-2014-299
Authors

Yu-Ming Chu, Hua Wang, Tie-Hong Zhao

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 %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 August 2022.
All research outputs
#6,597,909
of 25,374,917 outputs
Outputs from Journal of Inequalities and Applications
#11
of 175 outputs
Outputs of similar age
#59,484
of 247,171 outputs
Outputs of similar age from Journal of Inequalities and Applications
#2
of 6 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 175 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 88% 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 247,171 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 75% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.