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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dynamic lactate indices as predictors of outcome in critically ill patients
|
|---|---|
| Published in |
Critical Care, October 2011
|
| DOI | 10.1186/cc10497 |
| Pubmed ID | |
| Authors |
Alistair Nichol, Michael Bailey, Moritoki Egi, Ville Pettila, Craig French, Edward Stachowski, Michael C Reade, David James Cooper, Rinaldo Bellomo |
| Abstract |
Dynamic changes in lactate concentrations in the critically ill may predict patient outcome more accurately than static indices. We aimed to compare the predictive value of dynamic indices of lactatemia in the first 24 hours of intensive care unit (ICU) admission with the value of more commonly used static indices. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Greece | 1 | 25% |
| United Kingdom | 1 | 25% |
| Colombia | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Brazil | 2 | 1% |
| Switzerland | 1 | <1% |
| Greece | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 149 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 22 | 14% |
| Student > Master | 22 | 14% |
| Student > Postgraduate | 19 | 12% |
| Student > Ph. D. Student | 15 | 10% |
| Researcher | 12 | 8% |
| Other | 40 | 25% |
| Unknown | 27 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 98 | 62% |
| Engineering | 4 | 3% |
| Computer Science | 3 | 2% |
| Agricultural and Biological Sciences | 3 | 2% |
| Nursing and Health Professions | 2 | 1% |
| Other | 8 | 5% |
| Unknown | 39 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 07 October 2015.
All research outputs
#14,600,874
of 25,374,917 outputs
Outputs from Critical Care
#4,805
of 6,554 outputs
Outputs of similar age
#92,751
of 151,229 outputs
Outputs of similar age from Critical Care
#36
of 76 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,554 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 25th percentile – i.e., 25% 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 151,229 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 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 51% of its contemporaries.