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GPU-based parallel programming for FEM analysis in the optimization of steel frames

Overview of attention for article published in Journal of Asian architecture and building engineering, May 2024
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Title
GPU-based parallel programming for FEM analysis in the optimization of steel frames
Published in
Journal of Asian architecture and building engineering, May 2024
DOI 10.1080/13467581.2024.2345310
Authors

Tevfik Oğuz Örmecioğlu, İbrahim Aydoğdu, Hilal Tuğba Örmecioğlu

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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 12 May 2024.
All research outputs
#17,690,023
of 25,932,719 outputs
Outputs from Journal of Asian architecture and building engineering
#75
of 144 outputs
Outputs of similar age
#93,990
of 183,517 outputs
Outputs of similar age from Journal of Asian architecture and building engineering
#1
of 4 outputs
Altmetric has tracked 25,932,719 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 144 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% 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 183,517 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 4 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