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Certain transformations for multiple hypergeometric functions

Overview of attention for article published in Advances in Continuous and Discrete Models, December 2013
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About this Attention Score

  • Among the highest-scoring outputs from this source (#29 of 189)
  • Average Attention Score compared to outputs of the same age

Mentioned by

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3 X users

Citations

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2 Dimensions

Readers on

mendeley
3 Mendeley
Title
Certain transformations for multiple hypergeometric functions
Published in
Advances in Continuous and Discrete Models, December 2013
DOI 10.1186/1687-1847-2013-360
Authors

Chuanan Wei, Xiaoxia Wang, Yaqiong Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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 %
Student > Ph. D. Student 1 33%
Professor > Associate Professor 1 33%
Unknown 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Physics and Astronomy 1 33%
Unknown 1 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 21 March 2017.
All research outputs
#14,474,215
of 25,374,917 outputs
Outputs from Advances in Continuous and Discrete Models
#29
of 189 outputs
Outputs of similar age
#171,121
of 320,393 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#1
of 2 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 189 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done well, scoring higher than 84% 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 320,393 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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