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Additive construction of concrete deep beams using low-cost characterization methods and FEM-based topological optimization

Overview of attention for article published in Construction & Building Materials, March 2024
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Mentioned by

reddit
1 Redditor

Readers on

mendeley
57 Mendeley
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Article details
Title
Additive construction of concrete deep beams using low-cost characterization methods and FEM-based topological optimization
Published in
Construction & Building Materials, March 2024
DOI 10.1016/j.conbuildmat.2024.135418
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 57 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 57 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 9%
Student > Doctoral Student 3 5%
Student > Bachelor 2 4%
Professor 1 2%
Student > Master 1 2%
Other 2 4%
Unknown 43 75%
Readers by discipline
Readers by discipline Count As %
Engineering 11 19%
Design 2 4%
Business, Management and Accounting 1 2%
Medicine and Dentistry 1 2%
Materials Science 1 2%
Other 0 0%
Unknown 41 72%
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 04 January 2025.
All research outputs
#31,365,818
of 34,547,233 outputs
Outputs from Construction & Building Materials
#5,627
of 5,994 outputs
Outputs of similar age
#329,832
of 383,149 outputs
Outputs of similar age from Construction & Building Materials
#90
of 105 outputs
Altmetric has tracked 34,547,233 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,994 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 383,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.