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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
Predicting ischemic stroke risk from atrial fibrillation based on multi-spectral fundus images using deep learning
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, August 2023
|
| DOI | 10.3389/fcvm.2023.1185890 |
| Pubmed ID | |
| Authors |
Hui Li, Mengdi Gao, Haiqing Song, Xiao Wu, Gang Li, Yiwei Cui, Yang Li, Zhaoheng Xie, Qiushi Ren, Haitao Zhang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Unknown | 6 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 22% |
| Nursing and Health Professions | 1 | 11% |
| Social Sciences | 1 | 11% |
| Unknown | 5 | 56% |
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 02 August 2023.
All research outputs
#19,840,624
of 25,255,356 outputs
Outputs from Frontiers in Cardiovascular Medicine
#3,692
of 9,086 outputs
Outputs of similar age
#236,328
of 347,276 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#171
of 559 outputs
Altmetric has tracked 25,255,356 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,086 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 51% 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 347,276 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 559 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.