You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, March 2020
|
| DOI | 10.3389/fncom.2020.00016 |
| Pubmed ID | |
| Authors |
Newton Howard, Naima Chouikhi, Ahsan Adeel, Katelyn Dial, Adam Howard, Amir Hussain |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 2 | 14% |
| United States | 2 | 14% |
| Switzerland | 1 | 7% |
| Unknown | 9 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 79% |
| Scientists | 2 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 18% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Postgraduate | 4 | 9% |
| Lecturer | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 14 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 18% |
| Neuroscience | 6 | 14% |
| Engineering | 4 | 9% |
| Medicine and Dentistry | 2 | 5% |
| Mathematics | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 18 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 16 September 2020.
All research outputs
#1,716,760
of 25,622,179 outputs
Outputs from Frontiers in Computational Neuroscience
#60
of 1,472 outputs
Outputs of similar age
#40,927
of 385,877 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#4
of 33 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,472 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 95% 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 385,877 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 33 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 90% of its contemporaries.