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Modeling the transmission dynamics of delayed pneumonia-like diseases with a sensitivity of parameters

Overview of attention for article published in Advances in Continuous and Discrete Models, October 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
7 Mendeley
Title
Modeling the transmission dynamics of delayed pneumonia-like diseases with a sensitivity of parameters
Published in
Advances in Continuous and Discrete Models, October 2021
DOI 10.1186/s13662-021-03618-z
Pubmed ID
Authors

Muhammad Naveed, Dumitru Baleanu, Ali Raza, Muhammad Rafiq, Atif Hassan Soori, Muhammad Mohsin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Professor 1 14%
Unknown 4 57%
Readers by discipline Count As %
Environmental Science 1 14%
Mathematics 1 14%
Medicine and Dentistry 1 14%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 2024.
All research outputs
#6,584,554
of 25,383,344 outputs
Outputs from Advances in Continuous and Discrete Models
#6
of 70 outputs
Outputs of similar age
#123,111
of 436,199 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#1
of 1 outputs
Altmetric has tracked 25,383,344 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 70 research outputs from this source. They receive a mean Attention Score of 1.5. This one has done particularly well, scoring higher than 95% 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 436,199 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 71% of its contemporaries.
We're also able to compare this research output to 1 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