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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving Alzheimer's Disease Detection for Speech Based on Feature Purification Network
|
|---|---|
| Published in |
Frontiers in Public Health, March 2022
|
| DOI | 10.3389/fpubh.2021.835960 |
| Pubmed ID | |
| Authors |
Ning Liu, Zhenming Yuan, Qingfeng Tang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 17% |
| Student > Master | 2 | 11% |
| Lecturer | 1 | 6% |
| Researcher | 1 | 6% |
| Unknown | 11 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Psychology | 1 | 6% |
| Engineering | 1 | 6% |
| Unknown | 12 | 67% |
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 27 March 2022.
All research outputs
#3,230,059
of 23,426,104 outputs
Outputs from Frontiers in Public Health
#1,270
of 11,023 outputs
Outputs of similar age
#75,286
of 442,037 outputs
Outputs of similar age from Frontiers in Public Health
#91
of 966 outputs
Altmetric has tracked 23,426,104 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,023 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done well, scoring higher than 88% 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 442,037 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 82% of its contemporaries.
We're also able to compare this research output to 966 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 90% of its contemporaries.