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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition
|
|---|---|
| Published in |
Nature Electronics, December 2020
|
| DOI | 10.1038/s41928-020-00510-8 |
| Authors |
Ali Moin, Andy Zhou, Abbas Rahimi, Alisha Menon, Simone Benatti, George Alexandrov, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan, Fred Burghardt, Luca Benini, Ana C. Arias, Jan M. Rabaey |
X Demographics
The data shown below were collected from the profiles of 21 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 | 3 | 14% |
| United Kingdom | 3 | 14% |
| France | 1 | 5% |
| Japan | 1 | 5% |
| Singapore | 1 | 5% |
| Spain | 1 | 5% |
| Poland | 1 | 5% |
| Hong Kong | 1 | 5% |
| Panama | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 76% |
| Scientists | 4 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 306 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 15% |
| Student > Master | 33 | 11% |
| Researcher | 31 | 10% |
| Student > Bachelor | 20 | 7% |
| Student > Doctoral Student | 12 | 4% |
| Other | 39 | 13% |
| Unknown | 126 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 97 | 32% |
| Computer Science | 23 | 8% |
| Materials Science | 20 | 7% |
| Physics and Astronomy | 6 | 2% |
| Chemistry | 4 | 1% |
| Other | 26 | 8% |
| Unknown | 130 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 366. 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 02 April 2024.
All research outputs
#88,054
of 25,734,859 outputs
Outputs from Nature Electronics
#12
of 941 outputs
Outputs of similar age
#2,499
of 529,080 outputs
Outputs of similar age from Nature Electronics
#2
of 37 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 941 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.7. 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 529,080 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 99% of its contemporaries.
We're also able to compare this research output to 37 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 94% of its contemporaries.