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Prediction of Rubber Fiber Concrete Strength Using Extreme Learning Machine

Overview of attention for article published in Frontiers in Materials, January 2021
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Mentioned by

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1 X user

Citations

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13 Dimensions

Readers on

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27 Mendeley
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Title
Prediction of Rubber Fiber Concrete Strength Using Extreme Learning Machine
Published in
Frontiers in Materials, January 2021
DOI 10.3389/fmats.2020.582635
Authors

Jingkui Zhang, Juncai Xu, Changshun Liu, Ji Zheng

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Master 5 19%
Researcher 2 7%
Student > Doctoral Student 1 4%
Professor 1 4%
Other 0 0%
Unknown 13 48%
Readers by discipline Count As %
Engineering 11 41%
Unspecified 3 11%
Psychology 1 4%
Unknown 12 44%
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 28 January 2021.
All research outputs
#20,680,602
of 23,275,636 outputs
Outputs from Frontiers in Materials
#1,211
of 2,574 outputs
Outputs of similar age
#432,527
of 505,652 outputs
Outputs of similar age from Frontiers in Materials
#18
of 100 outputs
Altmetric has tracked 23,275,636 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 2,574 research outputs from this source. They receive a mean Attention Score of 1.4. 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 505,652 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 100 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.