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 |
Analyzing Neuroimaging Data Through Recurrent Deep Learning Models
|
|---|---|
| Published in |
Frontiers in Neuroscience, December 2019
|
| DOI | 10.3389/fnins.2019.01321 |
| Pubmed ID | |
| Authors |
Armin W. Thomas, Hauke R. Heekeren, Klaus-Robert Müller, Wojciech Samek |
X Demographics
The data shown below were collected from the profiles of 10 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 | 40% |
| Italy | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 18% |
| Student > Ph. D. Student | 22 | 17% |
| Student > Master | 21 | 16% |
| Student > Bachelor | 7 | 5% |
| Student > Postgraduate | 4 | 3% |
| Other | 13 | 10% |
| Unknown | 39 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 19% |
| Neuroscience | 13 | 10% |
| Engineering | 12 | 9% |
| Psychology | 9 | 7% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 15 | 12% |
| Unknown | 53 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 23 December 2019.
All research outputs
#6,493,710
of 25,807,758 outputs
Outputs from Frontiers in Neuroscience
#4,293
of 11,715 outputs
Outputs of similar age
#130,288
of 481,046 outputs
Outputs of similar age from Frontiers in Neuroscience
#112
of 309 outputs
Altmetric has tracked 25,807,758 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 11,715 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 63% 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 481,046 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 72% of its contemporaries.
We're also able to compare this research output to 309 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 63% of its contemporaries.