You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands
|
|---|---|
| Published in |
Frontiers in Neurorobotics, September 2016
|
| DOI | 10.3389/fnbot.2016.00009 |
| Pubmed ID | |
| Authors |
Manfredo Atzori, Matteo Cognolato, Henning Müller |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 3 | 30% |
| Brazil | 1 | 10% |
| Switzerland | 1 | 10% |
| United States | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 451 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | <1% |
| Unknown | 450 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 86 | 19% |
| Student > Ph. D. Student | 74 | 16% |
| Student > Bachelor | 41 | 9% |
| Researcher | 35 | 8% |
| Student > Postgraduate | 19 | 4% |
| Other | 65 | 14% |
| Unknown | 131 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 181 | 40% |
| Computer Science | 63 | 14% |
| Neuroscience | 9 | 2% |
| Medicine and Dentistry | 8 | 2% |
| Agricultural and Biological Sciences | 7 | 2% |
| Other | 30 | 7% |
| Unknown | 153 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 January 2017.
All research outputs
#5,266,270
of 25,837,817 outputs
Outputs from Frontiers in Neurorobotics
#106
of 1,054 outputs
Outputs of similar age
#81,818
of 349,064 outputs
Outputs of similar age from Frontiers in Neurorobotics
#3
of 9 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,054 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 89% 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 349,064 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.