| Title |
Screening of Key Genes of Sepsis and Septic Shock Using Bioinformatics Analysis
|
|---|---|
| Published in |
Journal of Inflammation Research, March 2021
|
| DOI | 10.2147/jir.s301663 |
| Pubmed ID | |
| Authors |
Xiaoliang Zeng, Jihua Feng, Yanli Yang, Ruzhi Zhao, Qiao Yu, Han Qin, Lile Wei, Pan Ji, Hongyuan Li, Zimeng Wu, Jianfeng Zhang |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Other | 3 | 13% |
| Professor | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 21% |
| Immunology and Microbiology | 3 | 13% |
| Medicine and Dentistry | 2 | 8% |
| Computer Science | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 42% |
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 12 March 2021.
All research outputs
#15,673,476
of 23,289,753 outputs
Outputs from Journal of Inflammation Research
#353
of 828 outputs
Outputs of similar age
#259,154
of 419,827 outputs
Outputs of similar age from Journal of Inflammation Research
#20
of 53 outputs
Altmetric has tracked 23,289,753 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 828 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 42nd percentile – i.e., 42% 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 419,827 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.