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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long-term wireless streaming of neural recordings for circuit discovery and adaptive stimulation in individuals with Parkinson’s disease
|
|---|---|
| Published in |
Nature Biotechnology, May 2021
|
| DOI | 10.1038/s41587-021-00897-5 |
| Pubmed ID | |
| Authors |
Ro’ee Gilron, Simon Little, Randy Perrone, Robert Wilt, Coralie de Hemptinne, Maria S. Yaroshinsky, Caroline A. Racine, Sarah S. Wang, Jill L. Ostrem, Paul S. Larson, Doris D. Wang, Nick B. Galifianakis, Ian O. Bledsoe, Marta San Luciano, Heather E. Dawes, Gregory A. Worrell, Vaclav Kremen, David A. Borton, Timothy Denison, Philip A. Starr |
X Demographics
The data shown below were collected from the profiles of 236 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 | 78 | 33% |
| United Kingdom | 13 | 6% |
| Germany | 10 | 4% |
| Canada | 6 | 3% |
| Australia | 4 | 2% |
| Japan | 4 | 2% |
| India | 3 | 1% |
| Mexico | 2 | <1% |
| Brazil | 2 | <1% |
| Other | 20 | 8% |
| Unknown | 94 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 169 | 72% |
| Scientists | 53 | 22% |
| Practitioners (doctors, other healthcare professionals) | 11 | 5% |
| Science communicators (journalists, bloggers, editors) | 3 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 194 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 36 | 19% |
| Student > Ph. D. Student | 35 | 18% |
| Student > Bachelor | 12 | 6% |
| Student > Master | 11 | 6% |
| Student > Postgraduate | 9 | 5% |
| Other | 24 | 12% |
| Unknown | 67 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 47 | 24% |
| Engineering | 30 | 15% |
| Agricultural and Biological Sciences | 11 | 6% |
| Medicine and Dentistry | 9 | 5% |
| Computer Science | 4 | 2% |
| Other | 17 | 9% |
| Unknown | 76 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 359. 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 31 March 2023.
All research outputs
#91,175
of 25,810,956 outputs
Outputs from Nature Biotechnology
#160
of 8,626 outputs
Outputs of similar age
#2,810
of 456,338 outputs
Outputs of similar age from Nature Biotechnology
#6
of 93 outputs
Altmetric has tracked 25,810,956 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 8,626 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.4. This one has done particularly well, scoring higher than 98% 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 456,338 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 93 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 93% of its contemporaries.