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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of patients requiring intensive care for COVID-19: development and validation of an integer-based score using data from Centers for Disease Control and Prevention of South Korea
|
|---|---|
| Published in |
Journal of Intensive Care, January 2021
|
| DOI | 10.1186/s40560-021-00527-x |
| Pubmed ID | |
| Authors |
JoonNyung Heo, Deokjae Han, Hyung-Jun Kim, Daehyun Kim, Yeon-Kyeng Lee, Dosang Lim, Sung Ok Hong, Mi-Jin Park, Beomman Ha, Woong Seog |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 120 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 14 | 12% |
| Student > Bachelor | 13 | 11% |
| Student > Master | 12 | 10% |
| Researcher | 7 | 6% |
| Other | 5 | 4% |
| Other | 27 | 23% |
| Unknown | 42 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 27% |
| Unspecified | 14 | 12% |
| Nursing and Health Professions | 9 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Computer Science | 3 | 3% |
| Other | 12 | 10% |
| Unknown | 46 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 20 May 2022.
All research outputs
#3,056,452
of 25,630,321 outputs
Outputs from Journal of Intensive Care
#154
of 582 outputs
Outputs of similar age
#83,363
of 532,761 outputs
Outputs of similar age from Journal of Intensive Care
#6
of 22 outputs
Altmetric has tracked 25,630,321 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 73% 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 532,761 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 84% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.