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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hierarchical Machine Learning Model for Mechanical Property Predictions of Polyurethane Elastomers From Small Datasets
|
|---|---|
| Published in |
Frontiers in Materials, May 2019
|
| DOI | 10.3389/fmats.2019.00087 |
| Authors |
Aditya Menon, James A. Thompson-Colón, Newell R. Washburn |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 21% |
| Researcher | 15 | 18% |
| Student > Master | 13 | 15% |
| Other | 5 | 6% |
| Lecturer > Senior Lecturer | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 22 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 19 | 22% |
| Engineering | 12 | 14% |
| Chemistry | 7 | 8% |
| Physics and Astronomy | 6 | 7% |
| Computer Science | 5 | 6% |
| Other | 7 | 8% |
| Unknown | 29 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 25 March 2021.
All research outputs
#6,534,612
of 23,151,828 outputs
Outputs from Frontiers in Materials
#99
of 2,542 outputs
Outputs of similar age
#121,303
of 350,873 outputs
Outputs of similar age from Frontiers in Materials
#10
of 46 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th 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 350,873 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 64% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.