| Title |
Convolutional neural network based data interpretable framework for Alzheimer’s treatment planning
|
|---|---|
| Published in |
Visual Computing for Industry, Biomedicine, and Art, February 2024
|
| DOI | 10.1186/s42492-024-00154-x |
| Pubmed ID | |
| Authors |
Sazia Parvin, Sonia Farhana Nimmy, Md Sarwar Kamal |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Lecturer > Senior Lecturer | 1 | 10% |
| Student > Master | 1 | 10% |
| Unknown | 6 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 20% |
| Unspecified | 1 | 10% |
| Neuroscience | 1 | 10% |
| Unknown | 6 | 60% |
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 06 February 2024.
All research outputs
#3,724,601
of 25,448,590 outputs
Outputs from Visual Computing for Industry, Biomedicine, and Art
#6
of 48 outputs
Outputs of similar age
#41,268
of 282,016 outputs
Outputs of similar age from Visual Computing for Industry, Biomedicine, and Art
#1
of 1 outputs
Altmetric has tracked 25,448,590 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 48 research outputs from this source. They receive a mean Attention Score of 2.9. This one scored the same or higher as 42 of them.
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 282,016 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 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them