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AI-based optimization of PEM fuel cell catalyst layers for maximum power density via data-driven surrogate modeling

Overview of attention for article published in Energy Conversion & Management, February 2020
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Mentioned by

twitter
2 X users
reddit
1 Redditor

Readers on

mendeley
149 Mendeley
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Article details
Title
AI-based optimization of PEM fuel cell catalyst layers for maximum power density via data-driven surrogate modeling
Published in
Energy Conversion & Management, February 2020
DOI 10.1016/j.enconman.2019.112460
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 21 14%
Student > Master 19 13%
Researcher 14 9%
Student > Bachelor 9 6%
Student > Doctoral Student 6 4%
Other 10 7%
Unknown 70 47%
Readers by discipline
Readers by discipline Count As %
Engineering 25 17%
Energy 16 11%
Chemical Engineering 8 5%
Materials Science 4 3%
Economics, Econometrics and Finance 3 2%
Other 9 6%
Unknown 84 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 March 2026.
All research outputs
#23,250,677
of 34,377,743 outputs
Outputs from Energy Conversion & Management
#3,016
of 3,904 outputs
Outputs of similar age
#322,091
of 516,046 outputs
Outputs of similar age from Energy Conversion & Management
#48
of 69 outputs
Altmetric has tracked 34,377,743 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,904 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 516,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.