| Title |
Cardiovascular Disease Prediction by Machine Learning Algorithms Based on Cytokines in Kazakhs of China
|
|---|---|
| Published in |
Clinical Epidemiology, June 2021
|
| DOI | 10.2147/clep.s313343 |
| Pubmed ID | |
| Authors |
Yunxing Jiang, Xianghui Zhang, Rulin Ma, Xinping Wang, Jiaming Liu, Mulatibieke Keerman, Yizhong Yan, Jiaolong Ma, Yanpeng Song, Jingyu Zhang, Jia He, Shuxia Guo, Heng Guo |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| United States | 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 9 | 15% |
| Student > Master | 6 | 10% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Lecturer | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 30 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 9 | 15% |
| Computer Science | 7 | 12% |
| Medicine and Dentistry | 4 | 7% |
| Business, Management and Accounting | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 31 | 53% |
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 10 June 2021.
All research outputs
#19,416,201
of 23,885,338 outputs
Outputs from Clinical Epidemiology
#603
of 756 outputs
Outputs of similar age
#326,235
of 434,966 outputs
Outputs of similar age from Clinical Epidemiology
#17
of 20 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 756 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 8th percentile – i.e., 8% 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 434,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.