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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bayesian Optimization for Neuroimaging Pre-processing in Brain Age Classification and Prediction
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, February 2018
|
| DOI | 10.3389/fnagi.2018.00028 |
| Pubmed ID | |
| Authors |
Jenessa Lancaster, Romy Lorenz, Rob Leech, James H. Cole |
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 % |
|---|---|---|
| United Kingdom | 6 | 43% |
| Switzerland | 1 | 7% |
| Germany | 1 | 7% |
| Spain | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 86% |
| Scientists | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 20% |
| Researcher | 19 | 20% |
| Student > Master | 14 | 15% |
| Student > Bachelor | 6 | 6% |
| Student > Doctoral Student | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 25 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 18 | 19% |
| Engineering | 13 | 14% |
| Computer Science | 11 | 12% |
| Psychology | 5 | 5% |
| Medicine and Dentistry | 5 | 5% |
| Other | 8 | 8% |
| Unknown | 35 | 37% |
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 17 February 2018.
All research outputs
#4,720,485
of 26,017,215 outputs
Outputs from Frontiers in Aging Neuroscience
#2,352
of 5,555 outputs
Outputs of similar age
#98,037
of 460,828 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#49
of 108 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,555 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 57% 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 460,828 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 78% of its contemporaries.
We're also able to compare this research output to 108 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 54% of its contemporaries.