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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial Intelligence-Enabled Electrocardiogram Predicted Left Ventricle Diameter as an Independent Risk Factor of Long-Term Cardiovascular Outcome in Patients With Normal Ejection Fraction
|
|---|---|
| Published in |
Frontiers in Medicine, April 2022
|
| DOI | 10.3389/fmed.2022.870523 |
| Pubmed ID | |
| Authors |
Hung-Yi Chen, Chin-Sheng Lin, Wen-Hui Fang, Chia-Cheng Lee, Ching-Liang Ho, Chih-Hung Wang, Chin Lin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Unspecified | 2 | 7% |
| Professor | 2 | 7% |
| Other | 6 | 20% |
| Unknown | 11 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 27% |
| Computer Science | 3 | 10% |
| Unspecified | 2 | 7% |
| Engineering | 2 | 7% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 43% |
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 28 April 2022.
All research outputs
#23,644,311
of 26,317,969 outputs
Outputs from Frontiers in Medicine
#6,639
of 7,481 outputs
Outputs of similar age
#387,465
of 454,442 outputs
Outputs of similar age from Frontiers in Medicine
#511
of 590 outputs
Altmetric has tracked 26,317,969 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one is in the 1st percentile – i.e., 1% 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 454,442 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 590 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.