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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An autonomous design algorithm to experimentally realize three-dimensionally isotropic auxetic network structures without compromising density
|
|---|---|
| Published in |
npj Computational Materials, May 2024
|
| DOI | 10.1038/s41524-024-01281-y |
| Authors |
Meng Shen, Marcos A. Reyes-Martinez, Louise Ahure Powell, Mark A. Iadicola, Abhishek Sharma, Fabian Byléhn, Nidhi Pashine, Edwin P. Chan, Christopher L. Soles, Heinrich M. Jaeger, Juan J. de Pablo |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Other | 1 | 11% |
| Lecturer > Senior Lecturer | 1 | 11% |
| Student > Master | 1 | 11% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 2 | 22% |
| Materials Science | 2 | 22% |
| Chemistry | 2 | 22% |
| Unknown | 3 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 88. 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 21 August 2024.
All research outputs
#518,210
of 26,504,585 outputs
Outputs from npj Computational Materials
#12
of 1,174 outputs
Outputs of similar age
#7,540
of 321,892 outputs
Outputs of similar age from npj Computational Materials
#2
of 43 outputs
Altmetric has tracked 26,504,585 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,174 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 98% 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 321,892 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 43 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 95% of its contemporaries.