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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Brain-Age Prediction Using Shallow Machine Learning: Predictive Analytics Competition 2019
|
|---|---|
| Published in |
Frontiers in Psychiatry, December 2020
|
| DOI | 10.3389/fpsyt.2020.604478 |
| Pubmed ID | |
| Authors |
Pedro F. Da Costa, Jessica Dafflon, Walter H. L. Pinaya |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 25% |
| United States | 1 | 8% |
| Italy | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Researcher | 7 | 19% |
| Other | 4 | 11% |
| Professor | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 14 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 5 | 14% |
| Computer Science | 4 | 11% |
| Medicine and Dentistry | 3 | 8% |
| Unspecified | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 17 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 02 January 2021.
All research outputs
#3,983,824
of 23,267,128 outputs
Outputs from Frontiers in Psychiatry
#1,994
of 10,377 outputs
Outputs of similar age
#103,502
of 509,296 outputs
Outputs of similar age from Frontiers in Psychiatry
#120
of 501 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 509,296 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 79% of its contemporaries.
We're also able to compare this research output to 501 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.