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Quadratic transformation inequalities for Gaussian hypergeometric function

Overview of attention for article published in Journal of Inequalities and Applications, September 2018
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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 (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
172 Dimensions

Readers on

mendeley
11 Mendeley
Title
Quadratic transformation inequalities for Gaussian hypergeometric function
Published in
Journal of Inequalities and Applications, September 2018
DOI 10.1186/s13660-018-1848-y
Pubmed ID
Authors

Tie-Hong Zhao, Miao-Kun Wang, Wen Zhang, Yu-Ming Chu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Lecturer 1 9%
Student > Master 1 9%
Unknown 7 64%
Readers by discipline Count As %
Engineering 2 18%
Social Sciences 1 9%
Mathematics 1 9%
Unknown 7 64%
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
#6,600,606
of 25,385,509 outputs
Outputs from Journal of Inequalities and Applications
#11
of 175 outputs
Outputs of similar age
#108,632
of 351,649 outputs
Outputs of similar age from Journal of Inequalities and Applications
#1
of 5 outputs
Altmetric has tracked 25,385,509 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 351,649 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 68% of its contemporaries.
We're also able to compare this research output to 5 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