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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of machine learning algorithms to evaluate the influence of various parameters on the flexural strength of ultra-high-performance concrete
|
|---|---|
| Published in |
Frontiers in Materials, January 2023
|
| DOI | 10.3389/fmats.2022.1114510 |
| Authors |
Yunfeng Qian, Muhammad Sufian, Ahmad Hakamy, Ahmed Farouk Deifalla, Amr El-said |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 9% |
| Student > Master | 3 | 9% |
| Lecturer | 2 | 6% |
| Researcher | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 22 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 26% |
| Materials Science | 1 | 3% |
| Design | 1 | 3% |
| Unknown | 24 | 69% |
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 07 January 2023.
All research outputs
#18,848,587
of 24,030,717 outputs
Outputs from Frontiers in Materials
#498
of 2,760 outputs
Outputs of similar age
#300,262
of 439,057 outputs
Outputs of similar age from Frontiers in Materials
#12
of 189 outputs
Altmetric has tracked 24,030,717 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 2,760 research outputs from this source. They receive a mean Attention Score of 1.5. 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 439,057 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.