| Title |
Developing a brain atlas through deep learning
|
|---|---|
| Published in |
Nature Machine Intelligence, June 2019
|
| DOI | 10.1038/s42256-019-0058-8 |
| Authors |
Asim Iqbal, Romesa Khan, Theofanis Karayannis |
X Demographics
The data shown below were collected from the profiles of 114 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 | 16 | 14% |
| Switzerland | 8 | 7% |
| United Kingdom | 7 | 6% |
| Ecuador | 5 | 4% |
| Germany | 4 | 4% |
| Japan | 3 | 3% |
| Spain | 3 | 3% |
| Norway | 2 | 2% |
| France | 2 | 2% |
| Other | 19 | 17% |
| Unknown | 45 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 81 | 71% |
| Scientists | 27 | 24% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 147 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 23% |
| Researcher | 29 | 20% |
| Student > Master | 18 | 12% |
| Student > Bachelor | 8 | 5% |
| Student > Doctoral Student | 6 | 4% |
| Other | 22 | 15% |
| Unknown | 30 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 33 | 22% |
| Computer Science | 24 | 16% |
| Engineering | 12 | 8% |
| Agricultural and Biological Sciences | 11 | 7% |
| Biochemistry, Genetics and Molecular Biology | 9 | 6% |
| Other | 17 | 12% |
| Unknown | 41 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 82. 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 12 October 2020.
All research outputs
#524,580
of 25,597,324 outputs
Outputs from Nature Machine Intelligence
#155
of 766 outputs
Outputs of similar age
#11,264
of 368,876 outputs
Outputs of similar age from Nature Machine Intelligence
#5
of 27 outputs
Altmetric has tracked 25,597,324 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 766 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.1. This one has done well, scoring higher than 80% 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 368,876 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 96% of its contemporaries.
We're also able to compare this research output to 27 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.