↓ Skip to main content

Modeling and analysis of thin film flow of Fuzzified Johnson Segalman nanofluid using fuzzy extension of He-Laplace scheme

Overview of attention for article published in Mathematical and Computer Modelling of Dynamical Systems, December 2023
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#40 of 149)
  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
5 X users
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Modeling and analysis of thin film flow of Fuzzified Johnson Segalman nanofluid using fuzzy extension of He-Laplace scheme
Published in
Mathematical and Computer Modelling of Dynamical Systems, December 2023
DOI 10.1080/13873954.2023.2276440
Authors

Mubashir Qayyum, Aneeza Tahir, Abdul Bariq, Ali Akgül, Syed Tauseef Saeed

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 December 2023.
All research outputs
#14,644,039
of 24,953,268 outputs
Outputs from Mathematical and Computer Modelling of Dynamical Systems
#40
of 149 outputs
Outputs of similar age
#71,744
of 189,185 outputs
Outputs of similar age from Mathematical and Computer Modelling of Dynamical Systems
#2
of 2 outputs
Altmetric has tracked 24,953,268 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 149 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 69% 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 189,185 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 2 others from the same source and published within six weeks on either side of this one.