Title |
Accelerated design and characterization of non-uniform cellular materials via a machine-learning based framework
|
---|---|
Published in |
npj Computational Materials, April 2020
|
DOI | 10.1038/s41524-020-0309-6 |
Authors |
Chunping Ma, Zhiwei Zhang, Benjamin Luce, Simon Pusateri, Binglin Xie, Mohammad H. Rafiei, Nan Hu |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 110 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 23% |
Student > Master | 16 | 15% |
Researcher | 12 | 11% |
Student > Bachelor | 6 | 5% |
Student > Doctoral Student | 3 | 3% |
Other | 12 | 11% |
Unknown | 36 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 36 | 33% |
Materials Science | 12 | 11% |
Physics and Astronomy | 6 | 5% |
Mathematics | 2 | 2% |
Unspecified | 2 | 2% |
Other | 10 | 9% |
Unknown | 42 | 38% |
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 05 May 2020.
All research outputs
#16,452,494
of 24,226,848 outputs
Outputs from npj Computational Materials
#608
of 965 outputs
Outputs of similar age
#238,988
of 379,510 outputs
Outputs of similar age from npj Computational Materials
#34
of 59 outputs
Altmetric has tracked 24,226,848 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 965 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 29th percentile – i.e., 29% 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 379,510 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 59 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.