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One-dimensional modeling of heterogeneous catalytic chemical looping steam methane reforming in an adiabatic packed bed reactor

Overview of attention for article published in Frontiers in Chemistry, November 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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2 Mendeley
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Title
One-dimensional modeling of heterogeneous catalytic chemical looping steam methane reforming in an adiabatic packed bed reactor
Published in
Frontiers in Chemistry, November 2023
DOI 10.3389/fchem.2023.1295455
Pubmed ID
Authors

Haris Qayyum, Izzat Iqbal Cheema, Mohsin Abdullah, Muhammad Amin, Imtiaz Afzal Khan, Eui-Jong Lee, Kang Hoon Lee

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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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 %
Researcher 1 50%
Unknown 1 50%
Readers by discipline Count As %
Energy 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 November 2023.
All research outputs
#21,110,894
of 25,931,626 outputs
Outputs from Frontiers in Chemistry
#2,544
of 6,841 outputs
Outputs of similar age
#264,366
of 374,241 outputs
Outputs of similar age from Frontiers in Chemistry
#43
of 162 outputs
Altmetric has tracked 25,931,626 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,841 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 50% 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 374,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.