You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A multi-regression framework to improve diagnostic ability of optical coherence tomography retinal biomarkers to discriminate mild cognitive impairment and Alzheimer’s disease
|
|---|---|
| Published in |
Alzheimer's Research & Therapy, March 2022
|
| DOI | 10.1186/s13195-022-00982-0 |
| Pubmed ID | |
| Authors |
Jacqueline Chua, Chi Li, Lucius Kang Hua Ho, Damon Wong, Bingyao Tan, Xinwen Yao, Alfred Gan, Florian Schwarzhans, Gerhard Garhöfer, Chelvin C. A. Sng, Saima Hilal, Narayanaswamy Venketasubramanian, Carol Y. Cheung, Georg Fischer, Clemens Vass, Tien Yin Wong, Christopher Li-Hsian Chen, Leopold Schmetterer |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 18% |
| Lecturer | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Other | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 18% |
| Medicine and Dentistry | 3 | 14% |
| Psychology | 1 | 5% |
| Chemical Engineering | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 March 2022.
All research outputs
#18,865,133
of 23,376,718 outputs
Outputs from Alzheimer's Research & Therapy
#1,208
of 1,272 outputs
Outputs of similar age
#317,288
of 440,465 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#40
of 42 outputs
Altmetric has tracked 23,376,718 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,272 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 2nd percentile – i.e., 2% 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 440,465 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.