| Title |
Prediction of pediatric sepsis mortality within 1 h of intensive care admission
|
|---|---|
| Published in |
Intensive Care Medicine, February 2017
|
| DOI | 10.1007/s00134-017-4701-8 |
| Pubmed ID | |
| Authors |
Luregn J. Schlapbach, Graeme MacLaren, Marino Festa, Janet Alexander, Simon Erickson, John Beca, Anthony Slater, Andreas Schibler, David Pilcher, Johnny Millar, Lahn Straney, On behalf of the Australian & New Zealand Intensive Care Society (ANZICS) Centre for Outcomes & Resource Evaluation (CORE) and Australian & New Zealand Intensive Care Society (ANZICS) Paediatric Study Group |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 33% |
| United States | 2 | 17% |
| United Kingdom | 1 | 8% |
| Chile | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Practitioners (doctors, other healthcare professionals) | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 2% |
| Unknown | 191 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 27 | 14% |
| Researcher | 22 | 11% |
| Student > Postgraduate | 21 | 11% |
| Student > Master | 18 | 9% |
| Student > Ph. D. Student | 16 | 8% |
| Other | 46 | 24% |
| Unknown | 44 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 104 | 54% |
| Nursing and Health Professions | 9 | 5% |
| Computer Science | 7 | 4% |
| Immunology and Microbiology | 6 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 3% |
| Other | 12 | 6% |
| Unknown | 51 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 11 August 2017.
All research outputs
#4,327,548
of 25,837,817 outputs
Outputs from Intensive Care Medicine
#2,351
of 5,512 outputs
Outputs of similar age
#70,883
of 325,649 outputs
Outputs of similar age from Intensive Care Medicine
#80
of 131 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.5. This one has gotten more attention than average, scoring higher than 56% 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 325,649 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 77% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.