| Title |
Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors
|
|---|---|
| Published in |
Nature Electronics, June 2020
|
| DOI | 10.1038/s41928-020-0422-z |
| Authors |
Ming Wang, Zheng Yan, Ting Wang, Pingqiang Cai, Siyu Gao, Yi Zeng, Changjin Wan, Hong Wang, Liang Pan, Jiancan Yu, Shaowu Pan, Ke He, Jie Lu, Xiaodong Chen |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 20% |
| Singapore | 2 | 13% |
| United States | 2 | 13% |
| United Kingdom | 1 | 7% |
| Germany | 1 | 7% |
| France | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 3 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 188 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 16% |
| Student > Master | 19 | 10% |
| Researcher | 15 | 8% |
| Student > Bachelor | 11 | 6% |
| Student > Doctoral Student | 9 | 5% |
| Other | 21 | 11% |
| Unknown | 82 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 50 | 27% |
| Materials Science | 17 | 9% |
| Computer Science | 6 | 3% |
| Physics and Astronomy | 5 | 3% |
| Unspecified | 4 | 2% |
| Other | 21 | 11% |
| Unknown | 85 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 89. 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 13 October 2020.
All research outputs
#483,903
of 25,562,515 outputs
Outputs from Nature Electronics
#117
of 935 outputs
Outputs of similar age
#15,387
of 434,071 outputs
Outputs of similar age from Nature Electronics
#7
of 49 outputs
Altmetric has tracked 25,562,515 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 935 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.0. This one has done well, scoring higher than 87% 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 434,071 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 96% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.