| Title |
Oliguria as predictive biomarker of acute kidney injury in critically ill patients
|
|---|---|
| Published in |
Critical Care, July 2011
|
| DOI | 10.1186/cc10318 |
| Pubmed ID | |
| Authors |
John R Prowle, Yan-Lun Liu, Elisa Licari, Sean M Bagshaw, Moritoki Egi, Michael Haase, Anja Haase-Fielitz, John A Kellum, Dinna Cruz, Claudio Ronco, Kenji Tsutsui, Shigehiko Uchino, Rinaldo Bellomo |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 1% |
| Colombia | 1 | <1% |
| Italy | 1 | <1% |
| South Africa | 1 | <1% |
| Mexico | 1 | <1% |
| Russia | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Philippines | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 174 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 16% |
| Student > Master | 26 | 14% |
| Student > Postgraduate | 21 | 11% |
| Other | 16 | 9% |
| Professor > Associate Professor | 16 | 9% |
| Other | 46 | 25% |
| Unknown | 29 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 116 | 63% |
| Nursing and Health Professions | 13 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 2% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 13 | 7% |
| Unknown | 32 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 November 2018.
All research outputs
#3,722,734
of 26,017,215 outputs
Outputs from Critical Care
#2,844
of 6,644 outputs
Outputs of similar age
#18,698
of 134,450 outputs
Outputs of similar age from Critical Care
#15
of 56 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,644 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. 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 134,450 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 56 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 73% of its contemporaries.