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Attention Score in Context
Title |
A review of asset management using artificial intelligence‐based machine learning models: Applications for the electric power and energy system
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Published in |
IET Generation, Transmission & Distribution, June 2024
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DOI | 10.1049/gtd2.13183 |
Authors |
Gopal Lal Rajora, Miguel A. Sanz‐Bobi, Lina Bertling Tjernberg, José Eduardo Urrea Cabus |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
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Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 13 June 2024.
All research outputs
#931,490
of 26,198,325 outputs
Outputs from IET Generation, Transmission & Distribution
#1
of 392 outputs
Outputs of similar age
#7,884
of 200,481 outputs
Outputs of similar age from IET Generation, Transmission & Distribution
#1
of 1 outputs
Altmetric has tracked 26,198,325 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 392 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 99% 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 200,481 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% 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