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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How to handle mortality when investigating length of hospital stay and time to clinical stability
|
|---|---|
| Published in |
BMC Medical Research Methodology, October 2011
|
| DOI | 10.1186/1471-2288-11-144 |
| Pubmed ID | |
| Authors |
Guy N Brock, Christopher Barnes, Julio A Ramirez, John Myers |
| Abstract |
Hospital length of stay (LOS) and time for a patient to reach clinical stability (TCS) have increasingly become important outcomes when investigating ways in which to combat Community Acquired Pneumonia (CAP). Difficulties arise when deciding how to handle in-hospital mortality. Ad-hoc approaches that are commonly used to handle time to event outcomes with mortality can give disparate results and provide conflicting conclusions based on the same data. To ensure compatibility among studies investigating these outcomes, this type of data should be handled in a consistent and appropriate fashion. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 111 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 28% |
| Student > Ph. D. Student | 13 | 11% |
| Student > Master | 11 | 10% |
| Other | 10 | 9% |
| Student > Bachelor | 9 | 8% |
| Other | 21 | 18% |
| Unknown | 18 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 49 | 43% |
| Mathematics | 6 | 5% |
| Agricultural and Biological Sciences | 5 | 4% |
| Social Sciences | 4 | 4% |
| Engineering | 4 | 4% |
| Other | 16 | 14% |
| Unknown | 30 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 April 2022.
All research outputs
#6,955,947
of 25,159,758 outputs
Outputs from BMC Medical Research Methodology
#1,034
of 2,245 outputs
Outputs of similar age
#39,894
of 145,767 outputs
Outputs of similar age from BMC Medical Research Methodology
#8
of 23 outputs
Altmetric has tracked 25,159,758 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,245 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 53% 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 145,767 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 23 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 69% of its contemporaries.