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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Convolutional Neural Networks With Ensemble Learning and Generative Adversarial Networks for Alzheimer’s Disease Image Data Classification
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, August 2021
|
| DOI | 10.3389/fnagi.2021.720226 |
| Pubmed ID | |
| Authors |
Robert Logan, Brian G. Williams, Maria Ferreira da Silva, Akash Indani, Nicolas Schcolnicov, Anjali Ganguly, Sean J. Miller |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 10% |
| Unspecified | 5 | 7% |
| Student > Ph. D. Student | 4 | 6% |
| Lecturer | 3 | 4% |
| Student > Bachelor | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 34 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 13% |
| Engineering | 8 | 12% |
| Unspecified | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 36 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 10 September 2021.
All research outputs
#3,526,363
of 25,145,981 outputs
Outputs from Frontiers in Aging Neuroscience
#1,749
of 5,434 outputs
Outputs of similar age
#76,769
of 425,633 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#82
of 248 outputs
Altmetric has tracked 25,145,981 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,434 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 65% 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 425,633 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 81% of its contemporaries.
We're also able to compare this research output to 248 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 64% of its contemporaries.