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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Cardiovascular Disease Prediction Model Based on Routine Physical Examination Indicators Using Machine Learning Methods: A Cohort Study
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, June 2022
|
| DOI | 10.3389/fcvm.2022.854287 |
| Pubmed ID | |
| Authors |
Xin Qian, Yu Li, Xianghui Zhang, Heng Guo, Jia He, Xinping Wang, Yizhong Yan, Jiaolong Ma, Rulin Ma, Shuxia Guo |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 17% |
| United Kingdom | 1 | 17% |
| China | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 6% |
| Student > Master | 2 | 6% |
| Researcher | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 21 | 66% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 9% |
| Unspecified | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 20 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 June 2022.
All research outputs
#13,229,909
of 23,314,015 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,442
of 7,218 outputs
Outputs of similar age
#168,576
of 443,745 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#171
of 921 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,218 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 79% 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 443,745 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 921 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.