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X Demographics
Attention Score in Context
Title |
A neural speech decoding framework leveraging deep learning and speech synthesis
|
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Published in |
Nature Machine Intelligence, April 2024
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DOI | 10.1038/s42256-024-00824-8 |
Authors |
Xupeng Chen, Ran Wang, Amirhossein Khalilian-Gourtani, Leyao Yu, Patricia Dugan, Daniel Friedman, Werner Doyle, Orrin Devinsky, Yao Wang, Adeen Flinker |
X Demographics
The data shown below were collected from the profiles of 469 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 | 69 | 15% |
United Kingdom | 19 | 4% |
Canada | 13 | 3% |
France | 10 | 2% |
India | 10 | 2% |
Japan | 8 | 2% |
Brazil | 4 | <1% |
Spain | 4 | <1% |
Italy | 3 | <1% |
Other | 45 | 10% |
Unknown | 284 | 61% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 409 | 87% |
Scientists | 49 | 10% |
Practitioners (doctors, other healthcare professionals) | 8 | 2% |
Science communicators (journalists, bloggers, editors) | 3 | <1% |
Attention Score in Context
This research output has an Altmetric Attention Score of 382. 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 24 April 2024.
All research outputs
#82,751
of 25,813,008 outputs
Outputs from Nature Machine Intelligence
#21
of 780 outputs
Outputs of similar age
#725
of 228,891 outputs
Outputs of similar age from Nature Machine Intelligence
#3
of 28 outputs
Altmetric has tracked 25,813,008 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 780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.4. This one has done particularly well, scoring higher than 97% 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 228,891 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 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.