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Block-pulse functions method for solving three-dimensional fractional Poisson type equations with Neumann boundary conditions

Overview of attention for article published in Boundary Value Problems, March 2018
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 166)
  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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2 Dimensions

Readers on

mendeley
1 Mendeley
Title
Block-pulse functions method for solving three-dimensional fractional Poisson type equations with Neumann boundary conditions
Published in
Boundary Value Problems, March 2018
DOI 10.1186/s13661-018-0945-7
Authors

Jiaquan Xie, Zhibin Yao, Ruirui Wu, Xiaofeng Ding, Jun Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Mathematics 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 April 2018.
All research outputs
#16,584,977
of 25,382,440 outputs
Outputs from Boundary Value Problems
#35
of 166 outputs
Outputs of similar age
#209,979
of 344,853 outputs
Outputs of similar age from Boundary Value Problems
#3
of 3 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 166 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done well, scoring higher than 78% 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 344,853 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.