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Mendeley readers
Attention Score in Context
Title |
A review of statistical estimators for risk-adjusted length of stay: analysis of the Australian and new Zealand intensive care adult patient data-base, 2008–2009
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Published in |
BMC Medical Research Methodology, May 2012
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DOI | 10.1186/1471-2288-12-68 |
Pubmed ID | |
Authors |
John L Moran, Patricia J Solomon, the ANZICS Centre for Outcome and Resource Evaluation (CORE) of the Australian and New Zealand Intensive Care Society (ANZICS) |
Abstract |
For the analysis of length-of-stay (LOS) data, which is characteristically right-skewed, a number of statistical estimators have been proposed as alternatives to the traditional ordinary least squares (OLS) regression with log dependent variable. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Unknown | 75 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 18% |
Researcher | 13 | 17% |
Student > Master | 12 | 16% |
Student > Bachelor | 5 | 6% |
Student > Postgraduate | 5 | 6% |
Other | 14 | 18% |
Unknown | 14 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 33 | 43% |
Computer Science | 6 | 8% |
Decision Sciences | 4 | 5% |
Engineering | 3 | 4% |
Economics, Econometrics and Finance | 3 | 4% |
Other | 11 | 14% |
Unknown | 17 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 March 2022.
All research outputs
#13,809,323
of 23,400,864 outputs
Outputs from BMC Medical Research Methodology
#1,324
of 2,064 outputs
Outputs of similar age
#92,644
of 165,208 outputs
Outputs of similar age from BMC Medical Research Methodology
#18
of 34 outputs
Altmetric has tracked 23,400,864 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,064 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 33rd percentile – i.e., 33% 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 165,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.