| Title |
Novel risk scoring system for predicting acute respiratory distress syndrome among hospitalized patients with coronavirus disease 2019 in Wuhan, China
|
|---|---|
| Published in |
BMC Infectious Diseases, December 2020
|
| DOI | 10.1186/s12879-020-05561-y |
| Pubmed ID | |
| Authors |
Mengyuan Liang, Miao He, Jian Tang, Xinliang He, Zhijun Liu, Siwei Feng, Ping Chen, Hui Li, Yu’e Xue, Tao Bai, Yanling Ma, Jianchu 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 13% |
| Student > Master | 9 | 12% |
| Researcher | 8 | 11% |
| Student > Ph. D. Student | 6 | 8% |
| Other | 4 | 5% |
| Other | 14 | 19% |
| Unknown | 24 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 27% |
| Nursing and Health Professions | 12 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Environmental Science | 2 | 3% |
| Other | 10 | 13% |
| Unknown | 25 | 33% |
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 18 December 2020.
All research outputs
#20,675,093
of 23,269,984 outputs
Outputs from BMC Infectious Diseases
#6,578
of 7,791 outputs
Outputs of similar age
#404,416
of 475,121 outputs
Outputs of similar age from BMC Infectious Diseases
#132
of 173 outputs
Altmetric has tracked 23,269,984 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 7,791 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 475,121 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 173 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.