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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-input digital drawing tasks
|
|---|---|
| Published in |
Alzheimer's Research & Therapy, August 2022
|
| DOI | 10.1186/s13195-022-01043-2 |
| Pubmed ID | |
| Authors |
Natthanan Ruengchaijatuporn, Itthi Chatnuntawech, Surat Teerapittayanon, Sira Sriswasdi, Sirawaj Itthipuripat, Solaphat Hemrungrojn, Prodpran Bunyabukkana, Aisawan Petchlorlian, Sedthapong Chunamchai, Thiparat Chotibut, Chaipat Chunharas |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Other | 3 | 8% |
| Researcher | 3 | 8% |
| Lecturer | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 17 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 13% |
| Psychology | 4 | 10% |
| Computer Science | 3 | 8% |
| Medicine and Dentistry | 2 | 5% |
| Neuroscience | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 18 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 August 2022.
All research outputs
#2,815,991
of 23,081,466 outputs
Outputs from Alzheimer's Research & Therapy
#672
of 1,249 outputs
Outputs of similar age
#58,611
of 432,770 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#25
of 51 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,249 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 432,770 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 86% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.