| Title |
Simple heuristic for data-driven computational elasticity with material data involving noise and outliers: a local robust regression approach
|
|---|---|
| Published in |
Japan Journal of Industrial and Applied Mathematics, August 2018
|
| DOI | 10.1007/s13160-018-0323-y |
| Authors |
Yoshihiro Kanno |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 32% |
| Professor | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Student > Ph. D. Student | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 32% |
| Computer Science | 2 | 11% |
| Economics, Econometrics and Finance | 1 | 5% |
| Mathematics | 1 | 5% |
| Materials Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 37% |
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 22 August 2017.
All research outputs
#18,810,041
of 23,975,976 outputs
Outputs from Japan Journal of Industrial and Applied Mathematics
#40
of 68 outputs
Outputs of similar age
#243,689
of 334,690 outputs
Outputs of similar age from Japan Journal of Industrial and Applied Mathematics
#2
of 3 outputs
Altmetric has tracked 23,975,976 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 68 research outputs from this source. They receive a mean Attention Score of 1.8. This one is in the 19th percentile – i.e., 19% 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 334,690 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.