| Title |
Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19
|
|---|---|
| Published in |
JAMA Internal Medicine, August 2020
|
| DOI | 10.1001/jamainternmed.2020.2033 |
| Pubmed ID | |
| Authors |
Wenhua Liang, Hengrui Liang, Limin Ou, Binfeng Chen, Ailan Chen, Caichen Li, Yimin Li, Weijie Guan, Ling Sang, Jiatao Lu, Yuanda Xu, Guoqiang Chen, Haiyan Guo, Jun Guo, Zisheng Chen, Yi Zhao, Shiyue Li, Nuofu Zhang, Nanshan Zhong, Jianxing He |
X Demographics
The data shown below were collected from the profiles of 620 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 118 | 19% |
| Spain | 27 | 4% |
| United Kingdom | 21 | 3% |
| Venezuela, Bolivarian Republic of | 20 | 3% |
| France | 15 | 2% |
| Mexico | 15 | 2% |
| Japan | 14 | 2% |
| Colombia | 13 | 2% |
| Canada | 11 | 2% |
| Other | 93 | 15% |
| Unknown | 273 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 461 | 74% |
| Practitioners (doctors, other healthcare professionals) | 81 | 13% |
| Scientists | 67 | 11% |
| Science communicators (journalists, bloggers, editors) | 11 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,245 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1245 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 154 | 12% |
| Other | 122 | 10% |
| Student > Bachelor | 105 | 8% |
| Student > Master | 90 | 7% |
| Student > Ph. D. Student | 78 | 6% |
| Other | 307 | 25% |
| Unknown | 389 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 474 | 38% |
| Biochemistry, Genetics and Molecular Biology | 46 | 4% |
| Nursing and Health Professions | 45 | 4% |
| Agricultural and Biological Sciences | 28 | 2% |
| Engineering | 26 | 2% |
| Other | 149 | 12% |
| Unknown | 477 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 563. 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 13 March 2024.
All research outputs
#43,222
of 25,816,430 outputs
Outputs from JAMA Internal Medicine
#381
of 11,720 outputs
Outputs of similar age
#1,699
of 428,017 outputs
Outputs of similar age from JAMA Internal Medicine
#13
of 99 outputs
Altmetric has tracked 25,816,430 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,720 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 85.1. This one has done particularly well, scoring higher than 96% 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 428,017 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 99 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.