The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
Attention Score in Context
| Title |
Deep Learning Model for Prediction of Progressive Mild Cognitive Impairment to Alzheimer’s Disease Using Structural MRI
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, June 2022
|
| DOI | 10.3389/fnagi.2022.876202 |
| Pubmed ID | |
| Authors |
Bing Yan Lim, Khin Wee Lai, Khairunnisa Haiskin, K. A. Saneera Hemantha Kulathilake, Zhi Chao Ong, Yan Chai Hum, Samiappan Dhanalakshmi, Xiang Wu, Xiaowei Zuo |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 11% |
| Student > Ph. D. Student | 5 | 9% |
| Professor > Associate Professor | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Unspecified | 3 | 5% |
| Other | 8 | 15% |
| Unknown | 25 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 22% |
| Medicine and Dentistry | 4 | 7% |
| Engineering | 4 | 7% |
| Unspecified | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 27 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 June 2022.
All research outputs
#4,161,167
of 22,738,543 outputs
Outputs from Frontiers in Aging Neuroscience
#1,973
of 4,744 outputs
Outputs of similar age
#91,372
of 439,797 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#134
of 353 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,744 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 54% 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 439,797 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 78% of its contemporaries.
We're also able to compare this research output to 353 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 53% of its contemporaries.