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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A mobile application using automatic speech analysis for classifying Alzheimer's disease and mild cognitive impairment
|
|---|---|
| Published in |
Computer Speech & Language, June 2023
|
| DOI | 10.1016/j.csl.2023.101514 |
| Authors |
Yasunori Yamada, Kaoru Shinkawa, Miyuki Nemoto, Kiyotaka Nemoto, Tetsuaki Arai |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 22% |
| South Africa | 1 | 6% |
| Netherlands | 1 | 6% |
| India | 1 | 6% |
| Unknown | 11 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 94% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 13% |
| Researcher | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Other | 1 | 3% |
| Professor | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 15 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 13% |
| Engineering | 3 | 10% |
| Computer Science | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Linguistics | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 18 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 31 May 2023.
All research outputs
#1,125,868
of 25,738,558 outputs
Outputs from Computer Speech & Language
#3
of 431 outputs
Outputs of similar age
#22,731
of 392,701 outputs
Outputs of similar age from Computer Speech & Language
#1
of 12 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 431 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 99% 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 392,701 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 94% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.