| Title |
Machine learning approaches for elastic localization linkages in high-contrast composite materials
|
|---|---|
| Published in |
Integrating Materials and Manufacturing Innovation, December 2015
|
| DOI | 10.1186/s40192-015-0042-z |
| Pubmed ID | |
| Authors |
Ruoqian Liu, Yuksel C. Yabansu, Ankit Agrawal, Surya R. Kalidindi, Alok N. Choudhary |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Iran, Islamic Republic of | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 108 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 27% |
| Researcher | 15 | 14% |
| Student > Master | 11 | 10% |
| Student > Bachelor | 7 | 6% |
| Student > Postgraduate | 6 | 6% |
| Other | 14 | 13% |
| Unknown | 27 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 33 | 30% |
| Materials Science | 16 | 15% |
| Computer Science | 9 | 8% |
| Physics and Astronomy | 3 | 3% |
| Chemical Engineering | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 39 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 December 2015.
All research outputs
#13,757,736
of 22,834,308 outputs
Outputs from Integrating Materials and Manufacturing Innovation
#25
of 55 outputs
Outputs of similar age
#192,714
of 387,469 outputs
Outputs of similar age from Integrating Materials and Manufacturing Innovation
#1
of 1 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 55 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 49th percentile – i.e., 49% 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 387,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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