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Two-fluid modelling for poly-disperse bubbly flows in vertical pipes: Analysis of the impact of geometrical parameters and heat transfer

Overview of attention for article published in Nuclear Engineering and Technology , March 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

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5 X users

Citations

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1 Dimensions

Readers on

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2 Mendeley
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Title
Two-fluid modelling for poly-disperse bubbly flows in vertical pipes: Analysis of the impact of geometrical parameters and heat transfer
Published in
Nuclear Engineering and Technology , March 2023
DOI 10.1016/j.net.2022.12.005
Authors

Andrea Allio, Antonio Buffo, Daniele Marchisio, Laura Savoldi

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Engineering 2 100%
Attention Score in Context

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 20 December 2022.
All research outputs
#8,194,992
of 25,392,582 outputs
Outputs from Nuclear Engineering and Technology
#57
of 234 outputs
Outputs of similar age
#142,662
of 422,415 outputs
Outputs of similar age from Nuclear Engineering and Technology
#2
of 2 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 234 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 75% 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 422,415 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 65% 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.