| Title |
Four-way classification of Alzheimer’s disease using deep Siamese convolutional neural network with triplet-loss function
|
|---|---|
| Published in |
Brain Informatics, February 2023
|
| DOI | 10.1186/s40708-023-00184-w |
| Pubmed ID | |
| Authors |
Faizal Hajamohideen, Noushath Shaffi, Mufti Mahmud, Karthikeyan Subramanian, Arwa Al Sariri, Viswan Vimbi, Abdelhamid Abdesselam |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Oman | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 5 | 13% |
| Lecturer | 2 | 5% |
| Professor | 2 | 5% |
| Researcher | 2 | 5% |
| Other | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 23 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 5 | 13% |
| Computer Science | 5 | 13% |
| Medicine and Dentistry | 2 | 5% |
| Engineering | 2 | 5% |
| Design | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 24 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 01 March 2023.
All research outputs
#2,439,171
of 23,462,326 outputs
Outputs from Brain Informatics
#7
of 106 outputs
Outputs of similar age
#40,114
of 377,922 outputs
Outputs of similar age from Brain Informatics
#2
of 4 outputs
Altmetric has tracked 23,462,326 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 106 research outputs from this source. They receive a mean Attention Score of 4.7. 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 377,922 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.