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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Local Brain-Age: A U-Net Model
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, December 2021
|
| DOI | 10.3389/fnagi.2021.761954 |
| Pubmed ID | |
| Authors |
Sebastian G. Popescu, Ben Glocker, David J. Sharp, James H. Cole |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 23% |
| United States | 1 | 8% |
| Unknown | 9 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 2 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Student > Bachelor | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Researcher | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 16 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 13% |
| Neuroscience | 5 | 13% |
| Computer Science | 5 | 13% |
| Agricultural and Biological Sciences | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 18 | 45% |
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 26 December 2021.
All research outputs
#4,434,254
of 25,046,944 outputs
Outputs from Frontiers in Aging Neuroscience
#2,268
of 5,407 outputs
Outputs of similar age
#99,513
of 515,338 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#93
of 241 outputs
Altmetric has tracked 25,046,944 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 5,407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 58% 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 515,338 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 80% of its contemporaries.
We're also able to compare this research output to 241 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 61% of its contemporaries.