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On Inverse Moments for a Class of Nonnegative Random Variables

Overview of attention for article published in Journal of Inequalities and Applications, June 2010
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About this Attention Score

  • Among the highest-scoring outputs from this source (#28 of 175)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
6 Mendeley
Title
On Inverse Moments for a Class of Nonnegative Random Variables
Published in
Journal of Inequalities and Applications, June 2010
DOI 10.1155/2010/823767
Authors

SooHak Sung

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Doctoral Student 2 33%
Unknown 2 33%
Readers by discipline Count As %
Mathematics 3 50%
Engineering 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 August 2013.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Journal of Inequalities and Applications
#28
of 175 outputs
Outputs of similar age
#37,901
of 104,302 outputs
Outputs of similar age from Journal of Inequalities and Applications
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 76% 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 104,302 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
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