| Title |
Early Warning Indicators of Severe COVID-19: A Single-Center Study of Cases From Shanghai, China
|
|---|---|
| Published in |
Frontiers in Medicine, July 2020
|
| DOI | 10.3389/fmed.2020.00432 |
| Pubmed ID | |
| Authors |
Yiming Lu, Kuo Sun, Shanshan Guo, Junjie Wang, An Li, Xuli Rong, Tingfang Wang, Yan Shang, Wenjun Chang, Sheng Wang |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 9 | 43% |
| China | 1 | 5% |
| Saudi Arabia | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 9 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 95% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 117 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 16% |
| Student > Master | 18 | 15% |
| Researcher | 12 | 10% |
| Other | 10 | 9% |
| Student > Doctoral Student | 7 | 6% |
| Other | 20 | 17% |
| Unknown | 31 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 26% |
| Biochemistry, Genetics and Molecular Biology | 9 | 8% |
| Nursing and Health Professions | 9 | 8% |
| Engineering | 5 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
| Other | 23 | 20% |
| Unknown | 35 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 17 August 2021.
All research outputs
#1,782,895
of 25,637,545 outputs
Outputs from Frontiers in Medicine
#503
of 7,279 outputs
Outputs of similar age
#47,686
of 414,642 outputs
Outputs of similar age from Frontiers in Medicine
#26
of 193 outputs
Altmetric has tracked 25,637,545 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done particularly well, scoring higher than 93% of its peers.
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 414,642 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.