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A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics

Overview of attention for article published in Computer Methods & Programs in Biomedicine, April 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
3 tweeters

Readers on

mendeley
4 Mendeley
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Title
A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics
Published in
Computer Methods & Programs in Biomedicine, April 2021
DOI 10.1016/j.cmpb.2021.105973
Pubmed ID
Authors

Muhammad Shoaib, Muhammad Asif Zahoor Raja, Muhammad Touseef Sabir, Ayaz Hussain Bukhari, Hussam Alrabaiah, Zahir Shah, Poom Kumam, Saeed Islam

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 2 50%
Student > Postgraduate 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Nursing and Health Professions 2 50%
Social Sciences 1 25%
Medicine and Dentistry 1 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 February 2021.
All research outputs
#2,649,760
of 17,100,199 outputs
Outputs from Computer Methods & Programs in Biomedicine
#65
of 1,275 outputs
Outputs of similar age
#33,841
of 162,473 outputs
Outputs of similar age from Computer Methods & Programs in Biomedicine
#5
of 43 outputs
Altmetric has tracked 17,100,199 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,275 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 94% 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 162,473 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.