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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning identifies prominent factors associated with cardiovascular disease: findings from two million adults in the Kashgar Prospective Cohort Study (KPCS)
|
|---|---|
| Published in |
Global Health Research and Policy, December 2022
|
| DOI | 10.1186/s41256-022-00282-y |
| Pubmed ID | |
| Authors |
Jia-Xin Li, Li Li, Xuemei Zhong, Shu-Jun Fan, Tao Cen, Jianquan Wang, Chuanjiang He, Zhoubin Zhang, Ya-Na Luo, Xiao-Xuan Liu, Li-Xin Hu, Yi-Dan Zhang, Hui-Ling Qiu, Guang-Hui Dong, Xiao-Guang Zou, Bo-Yi Yang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 10% |
| Other | 1 | 5% |
| Lecturer | 1 | 5% |
| Unspecified | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 12 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 14% |
| Nursing and Health Professions | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Unspecified | 1 | 5% |
| Environmental Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 12 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 April 2023.
All research outputs
#13,865,465
of 23,505,669 outputs
Outputs from Global Health Research and Policy
#151
of 224 outputs
Outputs of similar age
#177,240
of 445,835 outputs
Outputs of similar age from Global Health Research and Policy
#4
of 13 outputs
Altmetric has tracked 23,505,669 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 224 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 29th percentile – i.e., 29% 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 445,835 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 58% of its contemporaries.
We're also able to compare this research output to 13 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 69% of its contemporaries.