| Title |
A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees
|
|---|---|
| Published in |
Science Translational Medicine, March 2020
|
| DOI | 10.1126/scitranslmed.aay2857 |
| Pubmed ID | |
| Authors |
Philip P Vu, Alex K Vaskov, Zachary T Irwin, Phillip T Henning, Daniel R Lueders, Ann T Laidlaw, Alicia J Davis, Chrono S Nu, Deanna H Gates, R Brent Gillespie, Stephen W P Kemp, Theodore A Kung, Cynthia A Chestek, Paul S Cederna |
X Demographics
The data shown below were collected from the profiles of 104 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 | 29 | 28% |
| United Kingdom | 6 | 6% |
| Canada | 5 | 5% |
| Japan | 3 | 3% |
| Mexico | 2 | 2% |
| Switzerland | 1 | <1% |
| India | 1 | <1% |
| Italy | 1 | <1% |
| Finland | 1 | <1% |
| Other | 9 | 9% |
| Unknown | 46 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 71 | 68% |
| Scientists | 24 | 23% |
| Practitioners (doctors, other healthcare professionals) | 5 | 5% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 248 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 62 | 25% |
| Student > Master | 31 | 13% |
| Researcher | 27 | 11% |
| Student > Bachelor | 22 | 9% |
| Student > Doctoral Student | 10 | 4% |
| Other | 35 | 14% |
| Unknown | 61 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 93 | 38% |
| Medicine and Dentistry | 24 | 10% |
| Neuroscience | 20 | 8% |
| Biochemistry, Genetics and Molecular Biology | 9 | 4% |
| Agricultural and Biological Sciences | 7 | 3% |
| Other | 26 | 10% |
| Unknown | 69 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 386. 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 23 March 2023.
All research outputs
#81,011
of 25,734,859 outputs
Outputs from Science Translational Medicine
#266
of 5,472 outputs
Outputs of similar age
#2,465
of 387,201 outputs
Outputs of similar age from Science Translational Medicine
#4
of 109 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 5,472 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.8. This one has done particularly well, scoring higher than 95% 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 387,201 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 109 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 96% of its contemporaries.