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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The SmartHand transradial prosthesis
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, May 2011
|
| DOI | 10.1186/1743-0003-8-29 |
| Pubmed ID | |
| Authors |
Christian Cipriani, Marco Controzzi, Maria Chiara Carrozza |
| Abstract |
Prosthetic components and control interfaces for upper limb amputees have barely changed in the past 40 years. Many transradial prostheses have been developed in the past, nonetheless most of them would be inappropriate if/when a large bandwidth human-machine interface for control and perception would be available, due to either their limited (or inexistent) sensorization or limited dexterity. SmartHand tackles this issue as is meant to be clinically experimented in amputees employing different neuro-interfaces, in order to investigate their effectiveness. This paper presents the design and on bench evaluation of the SmartHand. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 365 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| Turkey | 2 | <1% |
| Austria | 2 | <1% |
| Spain | 2 | <1% |
| Brazil | 1 | <1% |
| Malaysia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 350 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 71 | 19% |
| Student > Master | 66 | 18% |
| Student > Bachelor | 47 | 13% |
| Researcher | 44 | 12% |
| Student > Doctoral Student | 19 | 5% |
| Other | 50 | 14% |
| Unknown | 68 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 193 | 53% |
| Medicine and Dentistry | 26 | 7% |
| Computer Science | 19 | 5% |
| Agricultural and Biological Sciences | 13 | 4% |
| Neuroscience | 9 | 2% |
| Other | 32 | 9% |
| Unknown | 73 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 January 2020.
All research outputs
#16,722,913
of 25,374,917 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#885
of 1,413 outputs
Outputs of similar age
#92,501
of 123,291 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#8
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 123,291 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.