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Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning

Overview of attention for article published in Energy Informatics, February 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
7 Mendeley
Title
Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning
Published in
Energy Informatics, February 2024
DOI 10.1186/s42162-024-00318-2
Authors

Ester Melo, Julio Barzola-Monteses, Holguer H. Noriega, Mayken Espinoza-Andaluz

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 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 1 14%
Student > Ph. D. Student 1 14%
Professor 1 14%
Student > Bachelor 1 14%
Researcher 1 14%
Other 0 0%
Unknown 2 29%
Readers by discipline Count As %
Engineering 2 29%
Business, Management and Accounting 1 14%
Medicine and Dentistry 1 14%
Computer Science 1 14%
Unknown 2 29%
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 22 May 2024.
All research outputs
#14,637,598
of 25,954,278 outputs
Outputs from Energy Informatics
#21
of 68 outputs
Outputs of similar age
#120,599
of 340,874 outputs
Outputs of similar age from Energy Informatics
#1
of 1 outputs
Altmetric has tracked 25,954,278 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 68 research outputs from this source. They receive a mean Attention Score of 3.3. 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 340,874 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 63% 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