| Title |
Critically Ill Patients with Coronavirus Disease 2019 in a Designated ICU: Clinical Features and Predictors for Mortality
|
|---|---|
| Published in |
Risk Management and Healthcare Policy, July 2020
|
| DOI | 10.2147/rmhp.s263095 |
| Pubmed ID | |
| Authors |
Zhao-Hua Wang, Chang Shu, Xiao Ran, Cui-Hong Xie, Lei 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 % |
|---|---|---|
| Comoros | 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 150 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 16% |
| Student > Bachelor | 20 | 13% |
| Student > Doctoral Student | 13 | 9% |
| Other | 10 | 7% |
| Researcher | 10 | 7% |
| Other | 33 | 22% |
| Unknown | 40 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 32% |
| Nursing and Health Professions | 19 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 3% |
| Immunology and Microbiology | 5 | 3% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Other | 25 | 17% |
| Unknown | 45 | 30% |
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 August 2020.
All research outputs
#20,635,653
of 23,228,787 outputs
Outputs from Risk Management and Healthcare Policy
#560
of 641 outputs
Outputs of similar age
#341,109
of 398,611 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#30
of 34 outputs
Altmetric has tracked 23,228,787 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 641 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. 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 398,611 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 34 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.