| Title |
Mechanical power normalized to predicted body weight as a predictor of mortality in patients with acute respiratory distress syndrome
|
|---|---|
| Published in |
Intensive Care Medicine, May 2019
|
| DOI | 10.1007/s00134-019-05627-9 |
| Pubmed ID | |
| Authors |
Zhongheng Zhang, Bin Zheng, Nan Liu, Huiqing Ge, Yucai Hong |
X Demographics
The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 3 | 9% |
| Ecuador | 2 | 6% |
| Spain | 2 | 6% |
| Mexico | 2 | 6% |
| Argentina | 2 | 6% |
| Switzerland | 1 | 3% |
| Uruguay | 1 | 3% |
| Colombia | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 17 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 85% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
| Scientists | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 110 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 13% |
| Other | 10 | 9% |
| Student > Postgraduate | 8 | 7% |
| Student > Master | 8 | 7% |
| Student > Bachelor | 7 | 6% |
| Other | 21 | 19% |
| Unknown | 42 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 53 | 48% |
| Nursing and Health Professions | 5 | 5% |
| Business, Management and Accounting | 1 | <1% |
| Biochemistry, Genetics and Molecular Biology | 1 | <1% |
| Environmental Science | 1 | <1% |
| Other | 4 | 4% |
| Unknown | 45 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 14 August 2020.
All research outputs
#1,972,391
of 25,374,374 outputs
Outputs from Intensive Care Medicine
#1,582
of 5,396 outputs
Outputs of similar age
#41,929
of 357,453 outputs
Outputs of similar age from Intensive Care Medicine
#30
of 66 outputs
Altmetric has tracked 25,374,374 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,396 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.6. This one has gotten more attention than average, scoring higher than 70% 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 357,453 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 66 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 56% of its contemporaries.