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Interpretable decision support system for tower crane layout planning: A deep learning-oriented approach

Overview of attention for article published in Artificial Intelligence in Engineering, October 2024
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1 X user

Readers on

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16 Mendeley
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Title
Interpretable decision support system for tower crane layout planning: A deep learning-oriented approach
Published in
Artificial Intelligence in Engineering, October 2024
DOI 10.1016/j.aei.2024.102714
Authors

Rongyan Li, Junyu Chen, Hung-Lin Chi, Dong Wang, Yan Fu

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 12 75%
Student > Master 2 13%
Unknown 2 13%
Readers by discipline Count As %
Unspecified 11 69%
Engineering 2 13%
Materials Science 1 6%
Unknown 2 13%
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 23 July 2024.
All research outputs
#21,555,336
of 26,462,556 outputs
Outputs from Artificial Intelligence in Engineering
#346
of 400 outputs
Outputs of similar age
#6,794
of 9,093 outputs
Outputs of similar age from Artificial Intelligence in Engineering
#5
of 9 outputs
Altmetric has tracked 26,462,556 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 400 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 6th percentile – i.e., 6% 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 9,093 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.