Title |
Natural speech reveals the semantic maps that tile human cerebral cortex
|
---|---|
Published in |
Nature, April 2016
|
DOI | 10.1038/nature17637 |
Pubmed ID | |
Authors |
Alexander G. Huth, Wendy A. de Heer, Thomas L. Griffiths, Frédéric E. Theunissen, Jack L. Gallant |
X Demographics
The data shown below were collected from the profiles of 954 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 | 149 | 16% |
Japan | 53 | 6% |
United Kingdom | 53 | 6% |
Spain | 42 | 4% |
Canada | 32 | 3% |
Australia | 21 | 2% |
Italy | 19 | 2% |
Netherlands | 14 | 1% |
France | 12 | 1% |
Other | 126 | 13% |
Unknown | 433 | 45% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 710 | 74% |
Scientists | 194 | 20% |
Practitioners (doctors, other healthcare professionals) | 28 | 3% |
Science communicators (journalists, bloggers, editors) | 22 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,350 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 32 | 1% |
Germany | 9 | <1% |
United Kingdom | 7 | <1% |
Brazil | 5 | <1% |
Japan | 4 | <1% |
Netherlands | 4 | <1% |
Israel | 4 | <1% |
Italy | 4 | <1% |
France | 3 | <1% |
Other | 31 | 1% |
Unknown | 2247 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 572 | 24% |
Researcher | 399 | 17% |
Student > Master | 267 | 11% |
Student > Bachelor | 189 | 8% |
Professor | 129 | 5% |
Other | 427 | 18% |
Unknown | 367 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 475 | 20% |
Psychology | 462 | 20% |
Agricultural and Biological Sciences | 195 | 8% |
Computer Science | 169 | 7% |
Linguistics | 114 | 5% |
Other | 409 | 17% |
Unknown | 526 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1707. 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 08 May 2024.
All research outputs
#6,367
of 25,890,819 outputs
Outputs from Nature
#677
of 99,023 outputs
Outputs of similar age
#65
of 313,785 outputs
Outputs of similar age from Nature
#9
of 992 outputs
Altmetric has tracked 25,890,819 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 99,023 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.8. 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 313,785 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 992 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.