| Title |
3D‐Architected Soft Machines with Topologically Encoded Motion
|
|---|---|
| Published in |
Advanced Functional Materials, April 2019
|
| DOI | 10.1002/adfm.201808713 |
| Authors |
Debkalpa Goswami, Shuai Liu, Aniket Pal, Lucas G. Silva, Ramses V. Martinez |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Germany | 1 | 14% |
| Mexico | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Science communicators (journalists, bloggers, editors) | 2 | 29% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 29% |
| Researcher | 12 | 9% |
| Student > Master | 12 | 9% |
| Student > Bachelor | 8 | 6% |
| Student > Doctoral Student | 8 | 6% |
| Other | 18 | 14% |
| Unknown | 34 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 52 | 40% |
| Materials Science | 10 | 8% |
| Computer Science | 6 | 5% |
| Chemistry | 5 | 4% |
| Physics and Astronomy | 4 | 3% |
| Other | 8 | 6% |
| Unknown | 44 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 94. 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 17 March 2022.
All research outputs
#456,296
of 25,540,105 outputs
Outputs from Advanced Functional Materials
#178
of 12,645 outputs
Outputs of similar age
#10,142
of 366,660 outputs
Outputs of similar age from Advanced Functional Materials
#3
of 179 outputs
Altmetric has tracked 25,540,105 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 12,645 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. 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 366,660 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 179 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 98% of its contemporaries.