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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Machine Learning to Evaluate the Role of Microinflammation in Cardiovascular Events in Patients With Chronic Kidney Disease
|
|---|---|
| Published in |
Frontiers in immunology, January 2022
|
| DOI | 10.3389/fimmu.2021.796383 |
| Pubmed ID | |
| Authors |
Xiao Qi Liu, Ting Ting Jiang, Meng Ying Wang, Wen Tao Liu, Yang Huang, Yu Lin Huang, Feng Yong Jin, Qing Zhao, Gui Hua Wang, Xiong Zhong Ruan, Bi Cheng Liu, Kun Ling |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 43% |
| Unspecified | 1 | 7% |
| Researcher | 1 | 7% |
| Student > Master | 1 | 7% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 5 | 36% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Unspecified | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 5 | 36% |
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 January 2022.
All research outputs
#20,580,732
of 26,166,431 outputs
Outputs from Frontiers in immunology
#23,303
of 33,003 outputs
Outputs of similar age
#381,869
of 530,613 outputs
Outputs of similar age from Frontiers in immunology
#1,123
of 1,554 outputs
Altmetric has tracked 26,166,431 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 33,003 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 22nd percentile – i.e., 22% 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 530,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,554 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.