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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability
|
|---|---|
| Published in |
Frontiers in Psychiatry, February 2021
|
| DOI | 10.3389/fpsyt.2021.598518 |
| Pubmed ID | |
| Authors |
Pedro L. Ballester, Laura Tomaz da Silva, Matheus Marcon, Nathalia Bianchini Esper, Benicio N. Frey, Augusto Buchweitz, Felipe Meneguzzi |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 14% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Bachelor | 5 | 8% |
| Researcher | 5 | 8% |
| Student > Doctoral Student | 2 | 3% |
| Other | 4 | 7% |
| Unknown | 29 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 14% |
| Neuroscience | 3 | 5% |
| Engineering | 3 | 5% |
| Psychology | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 33 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 April 2021.
All research outputs
#7,456,135
of 24,335,784 outputs
Outputs from Frontiers in Psychiatry
#3,436
of 11,598 outputs
Outputs of similar age
#157,220
of 423,225 outputs
Outputs of similar age from Frontiers in Psychiatry
#187
of 500 outputs
Altmetric has tracked 24,335,784 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,598 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 70% 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 423,225 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 500 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.