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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Brain-to-Brain Interface for Real-Time Sharing of Sensorimotor Information
|
|---|---|
| Published in |
Scientific Reports, February 2013
|
| DOI | 10.1038/srep01319 |
| Pubmed ID | |
| Authors |
Miguel Pais-Vieira, Mikhail Lebedev, Carolina Kunicki, Jing Wang, Miguel A. L. Nicolelis |
X Demographics
The data shown below were collected from the profiles of 853 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 | 163 | 19% |
| United States | 64 | 8% |
| United Kingdom | 24 | 3% |
| Brazil | 18 | 2% |
| Canada | 14 | 2% |
| Spain | 13 | 2% |
| France | 12 | 1% |
| Australia | 11 | 1% |
| Germany | 10 | 1% |
| Other | 90 | 11% |
| Unknown | 434 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 760 | 89% |
| Scientists | 67 | 8% |
| Practitioners (doctors, other healthcare professionals) | 15 | 2% |
| Science communicators (journalists, bloggers, editors) | 9 | 1% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 824 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 26 | 3% |
| United Kingdom | 12 | 1% |
| Germany | 10 | 1% |
| Japan | 6 | <1% |
| Russia | 6 | <1% |
| Brazil | 5 | <1% |
| Austria | 4 | <1% |
| France | 4 | <1% |
| Italy | 3 | <1% |
| Other | 35 | 4% |
| Unknown | 713 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 188 | 23% |
| Researcher | 154 | 19% |
| Student > Bachelor | 113 | 14% |
| Student > Master | 104 | 13% |
| Student > Doctoral Student | 42 | 5% |
| Other | 142 | 17% |
| Unknown | 81 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 215 | 26% |
| Neuroscience | 115 | 14% |
| Psychology | 84 | 10% |
| Engineering | 84 | 10% |
| Computer Science | 60 | 7% |
| Other | 163 | 20% |
| Unknown | 103 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1268. 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 04 February 2024.
All research outputs
#10,965
of 25,935,829 outputs
Outputs from Scientific Reports
#182
of 144,038 outputs
Outputs of similar age
#39
of 206,184 outputs
Outputs of similar age from Scientific Reports
#2
of 502 outputs
Altmetric has tracked 25,935,829 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 144,038 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.9. This one has done particularly well, scoring higher than 99% 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 206,184 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 502 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 99% of its contemporaries.