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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Bidirectional Brain-Machine Interface Featuring a Neuromorphic Hardware Decoder
|
|---|---|
| Published in |
Frontiers in Neuroscience, December 2016
|
| DOI | 10.3389/fnins.2016.00563 |
| Pubmed ID | |
| Authors |
Fabio Boi, Timoleon Moraitis, Vito De Feo, Francesco Diotalevi, Chiara Bartolozzi, Giacomo Indiveri, Alessandro Vato |
X Demographics
The data shown below were collected from the profiles of 16 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 | 6 | 38% |
| Switzerland | 3 | 19% |
| Japan | 2 | 13% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 94% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 104 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 19% |
| Researcher | 18 | 17% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 7 | 7% |
| Professor | 7 | 7% |
| Other | 14 | 13% |
| Unknown | 27 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 39 | 36% |
| Neuroscience | 12 | 11% |
| Medicine and Dentistry | 6 | 6% |
| Agricultural and Biological Sciences | 4 | 4% |
| Physics and Astronomy | 4 | 4% |
| Other | 11 | 10% |
| Unknown | 31 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 09 April 2024.
All research outputs
#3,554,016
of 25,374,647 outputs
Outputs from Frontiers in Neuroscience
#2,872
of 11,542 outputs
Outputs of similar age
#65,699
of 420,132 outputs
Outputs of similar age from Frontiers in Neuroscience
#21
of 145 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 75% 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 420,132 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 84% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.