| Title |
The Network of Pro-Inflammatory Factors CD147, DcR3, and IL33 in the Development of Kawasaki Disease
|
|---|---|
| Published in |
Journal of Inflammation Research, November 2021
|
| DOI | 10.2147/jir.s338763 |
| Pubmed ID | |
| Authors |
Yanqi Qi, Jiawen Xu, Zhe Lin, Yijing Tao, Fenglei Zheng, Yujia Wang, Yameng Sun, Songling Fu, Wei Wang, Chunhong Xie, Yiying Zhang, Fangqi Gong |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 17% |
| Researcher | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Immunology and Microbiology | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Unknown | 3 | 50% |
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 21 February 2022.
All research outputs
#18,697,497
of 23,172,045 outputs
Outputs from Journal of Inflammation Research
#515
of 818 outputs
Outputs of similar age
#314,576
of 439,236 outputs
Outputs of similar age from Journal of Inflammation Research
#58
of 101 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 818 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 439,236 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.