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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk adjustment for cesarean delivery rates: how many variables do we need? An observational study using administrative databases
|
|---|---|
| Published in |
BMC Health Services Research, January 2013
|
| DOI | 10.1186/1472-6963-13-13 |
| Pubmed ID | |
| Authors |
Elisa Stivanello, Paola Rucci, Elisa Carretta, Giulia Pieri, Maria P Fantini |
| Abstract |
Various studies indicate that inter-hospital comparisons have to take case mix into account and that risk adjustment procedures are necessary to control for potential predictors of cesarean delivery (CD). Different data sources have been used to retrieve information on potential predictors of CD. The aim of this study was to compare the discrimination capacity and fit of predictive models of CD created using different sources and to assess whether more complex models improve inter-hospital comparisons. |
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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 35 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 14% |
| Student > Doctoral Student | 5 | 14% |
| Other | 4 | 11% |
| Student > Master | 4 | 11% |
| Professor | 3 | 8% |
| Other | 12 | 32% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 46% |
| Nursing and Health Professions | 4 | 11% |
| Social Sciences | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 8 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 January 2013.
All research outputs
#16,099,609
of 23,881,329 outputs
Outputs from BMC Health Services Research
#5,823
of 7,949 outputs
Outputs of similar age
#188,372
of 287,803 outputs
Outputs of similar age from BMC Health Services Research
#86
of 114 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,949 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 17th percentile – i.e., 17% 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 287,803 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.