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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning
|
|---|---|
| Published in |
Alzheimer's Research & Therapy, March 2021
|
| DOI | 10.1186/s13195-021-00797-5 |
| Pubmed ID | |
| Authors |
Xiao Zhou, Shangran Qiu, Prajakta S. Joshi, Chonghua Xue, Ronald J. Killiany, Asim Z. Mian, Sang P. Chin, Rhoda Au, Vijaya B. Kolachalama |
X Demographics
The data shown below were collected from the profiles of 26 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 | 6 | 23% |
| United Kingdom | 3 | 12% |
| Spain | 1 | 4% |
| South Africa | 1 | 4% |
| Italy | 1 | 4% |
| Germany | 1 | 4% |
| Austria | 1 | 4% |
| Unknown | 12 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 73% |
| Scientists | 4 | 15% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 13% |
| Student > Master | 6 | 8% |
| Student > Ph. D. Student | 5 | 7% |
| Unspecified | 3 | 4% |
| Professor | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 44 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 9% |
| Engineering | 4 | 5% |
| Neuroscience | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 48 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 21 September 2021.
All research outputs
#712,412
of 23,577,761 outputs
Outputs from Alzheimer's Research & Therapy
#82
of 1,300 outputs
Outputs of similar age
#21,012
of 426,391 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#6
of 57 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,300 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done particularly well, scoring higher than 93% 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 426,391 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.