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Fractional dynamical analysis of measles spread model under vaccination corresponding to nonsingular fractional order derivative

Overview of attention for article published in Advances in Continuous and Discrete Models, April 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 189)
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
13 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
9 Mendeley
Title
Fractional dynamical analysis of measles spread model under vaccination corresponding to nonsingular fractional order derivative
Published in
Advances in Continuous and Discrete Models, April 2020
DOI 10.1186/s13662-020-02628-7
Authors

Ghazala Nazir, Kamal Shah, Hussam Alrabaiah, Hammad Khalil, Rahmat Ali Khan

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 11%
Lecturer 1 11%
Student > Doctoral Student 1 11%
Unknown 6 67%
Readers by discipline Count As %
Mathematics 3 33%
Unknown 6 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 November 2021.
All research outputs
#2,657,442
of 25,387,668 outputs
Outputs from Advances in Continuous and Discrete Models
#3
of 189 outputs
Outputs of similar age
#68,028
of 404,126 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#1
of 5 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 189 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 98% 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 404,126 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 83% of its contemporaries.
We're also able to compare this research output to 5 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