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 |
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, January 2022
|
| DOI | 10.3389/fninf.2021.805669 |
| Pubmed ID | |
| Authors |
Mariana Bento, Irene Fantini, Justin Park, Leticia Rittner, Richard Frayne |
X Demographics
The data shown below were collected from the profiles of 33 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 States | 4 | 12% |
| United Kingdom | 3 | 9% |
| Canada | 2 | 6% |
| Netherlands | 1 | 3% |
| United Arab Emirates | 1 | 3% |
| India | 1 | 3% |
| Ukraine | 1 | 3% |
| Romania | 1 | 3% |
| Sweden | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 16 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 73% |
| Scientists | 5 | 15% |
| Science communicators (journalists, bloggers, editors) | 3 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Student > Bachelor | 5 | 9% |
| Student > Master | 5 | 9% |
| Researcher | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 19 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 16% |
| Engineering | 8 | 15% |
| Neuroscience | 4 | 7% |
| Unspecified | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 21 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 24 February 2022.
All research outputs
#2,281,447
of 25,658,541 outputs
Outputs from Frontiers in Neuroinformatics
#74
of 846 outputs
Outputs of similar age
#55,410
of 518,050 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#1
of 25 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 846 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 91% 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 518,050 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 25 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 96% of its contemporaries.