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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

  • Among the highest-scoring outputs from this source (#20 of 314)
  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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4 tweeters
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

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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
#4,154,952
of 13,995,321 outputs
Outputs from SN Applied Sciences
#20
of 314 outputs
Outputs of similar age
#82,537
of 219,884 outputs
Outputs of similar age from SN Applied Sciences
#11
of 67 outputs
Altmetric has tracked 13,995,321 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 314 research outputs from this source. They receive a mean Attention Score of 1.5. This one has done particularly well, scoring higher than 93% 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 219,884 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 62% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.