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Machine learning-based evaluation of parameters of high-strength concrete and raw material interaction at elevated temperatures

Overview of attention for article published in Frontiers in Materials, April 2023
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About this Attention Score

  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
2 X users

Citations

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3 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Machine learning-based evaluation of parameters of high-strength concrete and raw material interaction at elevated temperatures
Published in
Frontiers in Materials, April 2023
DOI 10.3389/fmats.2023.1187094
Authors

Gongmei Chen, Salman Ali Suhail, Alireza Bahrami, Muhammad Sufian, Marc Azab

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Professor 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 6 50%
Readers by discipline Count As %
Engineering 4 33%
Materials Science 1 8%
Mathematics 1 8%
Unknown 6 50%
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 29 April 2023.
All research outputs
#18,958,303
of 24,162,843 outputs
Outputs from Frontiers in Materials
#507
of 2,785 outputs
Outputs of similar age
#273,537
of 391,032 outputs
Outputs of similar age from Frontiers in Materials
#17
of 133 outputs
Altmetric has tracked 24,162,843 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,785 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done well, scoring higher than 76% 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 391,032 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.