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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel cascade machine learning pipeline for Alzheimer’s disease identification and prediction
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, January 2023
|
| DOI | 10.3389/fnagi.2022.1073909 |
| Pubmed ID | |
| Authors |
Kun Zhou, Sirong Piao, Xiao Liu, Xiao Luo, Hongyi Chen, Rui Xiang, Daoying Geng |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 38% |
| Netherlands | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 6% |
| Other | 1 | 6% |
| Lecturer | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Professor | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 9 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 6% |
| Unspecified | 1 | 6% |
| Computer Science | 1 | 6% |
| Social Sciences | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 69% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 03 February 2023.
All research outputs
#2,160,409
of 23,275,636 outputs
Outputs from Frontiers in Aging Neuroscience
#653
of 4,930 outputs
Outputs of similar age
#37,102
of 394,092 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#11
of 197 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,930 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 86% 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 394,092 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 90% of its contemporaries.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.