You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Machine Learning based approach to predict road rutting considering uncertainty
|
|---|---|
| Published in |
Case Studies in Construction Materials, July 2024
|
| DOI | 10.1016/j.cscm.2024.e03186 |
| Authors |
K. Chen, M. Eskandari Torbaghan, N. Thom, A. Garcia-Hernández, A. Faramarzi, D. Chapman |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 67% |
| Lecturer | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 67% |
| Engineering | 2 | 33% |
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 24 April 2024.
All research outputs
#17,587,039
of 25,784,004 outputs
Outputs from Case Studies in Construction Materials
#118
of 248 outputs
Outputs of similar age
#3,292
of 5,951 outputs
Outputs of similar age from Case Studies in Construction Materials
#3
of 18 outputs
Altmetric has tracked 25,784,004 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 248 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 20th percentile – i.e., 20% 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 5,951 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.