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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting dementia from spontaneous speech using large language models
|
|---|---|
| Published in |
PLOS Digital Health, December 2022
|
| DOI | 10.1371/journal.pdig.0000168 |
| Pubmed ID | |
| Authors |
Felix Agbavor, Hualou Liang |
X Demographics
The data shown below were collected from the profiles of 113 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 19% |
| Japan | 11 | 10% |
| United Kingdom | 7 | 6% |
| India | 3 | 3% |
| Kenya | 2 | 2% |
| Spain | 2 | 2% |
| France | 2 | 2% |
| Romania | 1 | <1% |
| Palestine, State of | 1 | <1% |
| Other | 4 | 4% |
| Unknown | 59 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 98 | 87% |
| Scientists | 10 | 9% |
| Practitioners (doctors, other healthcare professionals) | 4 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Professor | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 3 | 4% |
| Other | 3 | 4% |
| Other | 9 | 13% |
| Unknown | 36 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 13% |
| Psychology | 7 | 10% |
| Engineering | 6 | 9% |
| Business, Management and Accounting | 3 | 4% |
| Neuroscience | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 35 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 389. 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 April 2024.
All research outputs
#79,713
of 25,670,640 outputs
Outputs from PLOS Digital Health
#7
of 295 outputs
Outputs of similar age
#2,085
of 481,762 outputs
Outputs of similar age from PLOS Digital Health
#2
of 32 outputs
Altmetric has tracked 25,670,640 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 295 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.2. This one has done particularly well, scoring higher than 97% 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 481,762 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 99% of its contemporaries.
We're also able to compare this research output to 32 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 93% of its contemporaries.