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Solving partial differential equations by a supervised learning technique, applied for the reaction–diffusion equation

Overview of attention for article published in SN Applied Sciences, November 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
10 Mendeley
Title
Solving partial differential equations by a supervised learning technique, applied for the reaction–diffusion equation
Published in
SN Applied Sciences, November 2019
DOI 10.1007/s42452-019-1630-x
Authors

Behzad Zakeri, Morteza Khashehchi, Sanaz Samsam, Atoosa Tayebi, Atefeh Rezaei

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Student > Ph. D. Student 1 10%
Other 1 10%
Researcher 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 4 40%
Readers by discipline Count As %
Engineering 2 20%
Chemical Engineering 1 10%
Energy 1 10%
Physics and Astronomy 1 10%
Unknown 5 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 November 2019.
All research outputs
#7,499,094
of 23,175,240 outputs
Outputs from SN Applied Sciences
#140
of 1,369 outputs
Outputs of similar age
#137,902
of 364,484 outputs
Outputs of similar age from SN Applied Sciences
#18
of 133 outputs
Altmetric has tracked 23,175,240 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,369 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 89% 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 364,484 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 61% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.