| Title |
Correlation analysis between disease severity and inflammation-related parameters in patients with COVID-19: a retrospective study
|
|---|---|
| Published in |
BMC Infectious Diseases, December 2020
|
| DOI | 10.1186/s12879-020-05681-5 |
| Pubmed ID | |
| Authors |
Jing Gong, Hui Dong, Qing-Song Xia, Zhao-yi Huang, Ding-kun Wang, Yan Zhao, Wen-hua Liu, Sheng-hao Tu, Ming-min Zhang, Qi Wang, Fu-er Lu |
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 % |
|---|---|---|
| Unknown | 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 489 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 489 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 64 | 13% |
| Student > Master | 54 | 11% |
| Student > Bachelor | 45 | 9% |
| Student > Ph. D. Student | 42 | 9% |
| Other | 30 | 6% |
| Other | 85 | 17% |
| Unknown | 169 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 95 | 19% |
| Biochemistry, Genetics and Molecular Biology | 59 | 12% |
| Immunology and Microbiology | 38 | 8% |
| Agricultural and Biological Sciences | 28 | 6% |
| Nursing and Health Professions | 19 | 4% |
| Other | 71 | 15% |
| Unknown | 179 | 37% |
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 06 January 2021.
All research outputs
#20,676,689
of 23,271,751 outputs
Outputs from BMC Infectious Diseases
#6,580
of 7,790 outputs
Outputs of similar age
#429,445
of 503,783 outputs
Outputs of similar age from BMC Infectious Diseases
#134
of 176 outputs
Altmetric has tracked 23,271,751 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 1st percentile – i.e., 1% 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 503,783 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.