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X Demographics
Mendeley readers
Attention Score in Context
Title |
Knowledge‐enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings
|
---|---|
Published in |
Computer-Aided Civil & Infrastructure Engineering, September 2023
|
DOI | 10.1111/mice.13094 |
Authors |
Yifan Fei, Wenjie Liao, Xinzheng Lu, Hong Guan |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 2 | 40% |
Argentina | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 20% |
Other | 1 | 20% |
Student > Master | 1 | 20% |
Unknown | 2 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 40% |
Design | 1 | 20% |
Unknown | 2 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 18 September 2023.
All research outputs
#7,015,074
of 24,460,744 outputs
Outputs from Computer-Aided Civil & Infrastructure Engineering
#59
of 253 outputs
Outputs of similar age
#52,608
of 178,585 outputs
Outputs of similar age from Computer-Aided Civil & Infrastructure Engineering
#1
of 1 outputs
Altmetric has tracked 24,460,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 253 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 77% 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 178,585 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them