The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
Modeling Macroscopic Material Behavior With Machine Learning Algorithms Trained by Micromechanical Simulations
|
|---|---|
| Published in |
Frontiers in Materials, August 2019
|
| DOI | 10.3389/fmats.2019.00181 |
| Authors |
Denise Reimann, Kapil Nidadavolu, Hamad ul Hassan, Napat Vajragupta, Tobias Glasmachers, Philipp Junker, Alexander Hartmaier |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Switzerland | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 18% |
| Researcher | 14 | 14% |
| Student > Doctoral Student | 9 | 9% |
| Student > Master | 8 | 8% |
| Student > Bachelor | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 36 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 34 | 33% |
| Materials Science | 18 | 17% |
| Physics and Astronomy | 3 | 3% |
| Computer Science | 2 | 2% |
| Design | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 39 | 38% |
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 20 September 2019.
All research outputs
#6,485,031
of 23,153,849 outputs
Outputs from Frontiers in Materials
#97
of 2,542 outputs
Outputs of similar age
#115,277
of 342,517 outputs
Outputs of similar age from Frontiers in Materials
#4
of 74 outputs
Altmetric has tracked 23,153,849 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 2,542 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 96% 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 342,517 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 66% of its contemporaries.
We're also able to compare this research output to 74 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 94% of its contemporaries.