| Title |
Prediction of noninvasive ventilation failure using the ROX index in patients with de novo acute respiratory failure
|
|---|---|
| Published in |
Annals of Intensive Care, December 2022
|
| DOI | 10.1186/s13613-022-01085-7 |
| Pubmed ID | |
| Authors |
Jun Duan, Juhua Yang, Lei Jiang, Linfu Bai, Wenhui Hu, Weiwei Shu, Ke Wang, Fuxun Yang |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 20% |
| India | 1 | 20% |
| Italy | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 15% |
| Student > Bachelor | 3 | 15% |
| Other | 2 | 10% |
| Researcher | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 35% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Computer Science | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Unknown | 10 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 30 May 2023.
All research outputs
#1,504,385
of 23,881,329 outputs
Outputs from Annals of Intensive Care
#178
of 1,088 outputs
Outputs of similar age
#31,769
of 459,331 outputs
Outputs of similar age from Annals of Intensive Care
#8
of 27 outputs
Altmetric has tracked 23,881,329 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 1,088 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has done well, scoring higher than 83% 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 459,331 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 93% of its contemporaries.
We're also able to compare this research output to 27 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 74% of its contemporaries.