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X Demographics
Mendeley readers
Attention Score in Context
| Title |
External validation of a machine learning model to predict hemodynamic instability in intensive care unit
|
|---|---|
| Published in |
Critical Care, July 2022
|
| DOI | 10.1186/s13054-022-04088-9 |
| Pubmed ID | |
| Authors |
Chiang Dung-Hung, Tian Cong, Jiang Zeyu, Ou-Yang Yu-Shan, Lin Yung-Yan |
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 States | 1 | 50% |
| Spain | 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 11% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 11 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 21% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Unspecified | 1 | 5% |
| Computer Science | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 58% |
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 15 July 2022.
All research outputs
#17,301,727
of 25,392,582 outputs
Outputs from Critical Care
#5,469
of 6,555 outputs
Outputs of similar age
#257,706
of 436,570 outputs
Outputs of similar age from Critical Care
#92
of 96 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,555 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 10th percentile – i.e., 10% 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 436,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 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.