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Attention Score in Context
| Title |
An epidemiological evaluation of pediatric long bone fractures — a retrospective cohort study of 2716 patients from two Swiss tertiary pediatric hospitals
|
|---|---|
| Published in |
BMC Pediatrics, December 2014
|
| DOI | 10.1186/s12887-014-0314-3 |
| Pubmed ID | |
| Authors |
Alexander Joeris, Nicolas Lutz, Bárbara Wicki, Theddy Slongo, Laurent Audigé |
| Abstract |
BackgroundChildren and adolescents are at high risk of sustaining fractures during growth. Therefore, epidemiological assessment is crucial for fracture prevention. The AO Comprehensive Injury Automatic Classifier (AO COIAC) was used to evaluate epidemiological data of pediatric long bone fractures in a large cohort.MethodsData from children and adolescents with long bone fractures sustained between 2009 and 2011, treated at either of two tertiary pediatric surgery hospitals in Switzerland, were retrospectively collected. Fractures were classified according to the AO Pediatric Comprehensive Classification of Long Bone Fractures (PCCF).Age, sex, BMI, injury and treatment data were recorded. Children were classified into four age classes and five BMI classes were applied. Seven major accident categories were established. Study parameters were tabulated using standard descriptive statistics. The relationship of categorical variables was tested using the chi-square test. The children¿s BMI was compared to WHO reference data and Swiss population data.ResultsFor a total of 2716 patients (60% boys), 2807 accidents with 2840 long bone fractures (59% radius/ulna; 21% humerus; 15% tibia/fibula; 5% femur) were documented. Children¿s mean age (SD) was 8.2 (4.0) years (6% infants; 26% preschool children; 40% school children; 28% adolescents). Adolescent boys sustained more fractures than girls (p¿<¿0.001). The leading cause of fractures was falls (27%), followed by accidents occurring during leisure activities (25%), at home (14%), on playgrounds (11%), and traffic (11%) and school accidents (8%). There was boy predominance for all accident types except for playground and at home accidents. The distribution of accident types differed according to age classes (p¿<¿0.001). Twenty-six percent of patients were classed as overweight or obese¿higher than data published by the WHO for the corresponding ages¿with a higher proportion of overweight and obese boys than in the Swiss population (p¿<¿0.0001).ConclusionOverall, differences in the fracture distribution were sex and age related. Overweight and obese patients seemed to be at increased risk of sustaining fractures. Our data give valuable input into future development of prevention strategies. The AO PCCF proved to be useful in epidemiological reporting and analysis of pediatric long bone fractures. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Unknown | 152 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 24 | 16% |
| Student > Master | 23 | 15% |
| Student > Postgraduate | 19 | 12% |
| Researcher | 13 | 8% |
| Student > Doctoral Student | 11 | 7% |
| Other | 25 | 16% |
| Unknown | 38 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 69 | 45% |
| Nursing and Health Professions | 16 | 10% |
| Engineering | 4 | 3% |
| Sports and Recreations | 3 | 2% |
| Social Sciences | 3 | 2% |
| Other | 11 | 7% |
| Unknown | 47 | 31% |
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 27 January 2015.
All research outputs
#17,738,777
of 22,780,165 outputs
Outputs from BMC Pediatrics
#2,252
of 2,996 outputs
Outputs of similar age
#242,036
of 353,203 outputs
Outputs of similar age from BMC Pediatrics
#19
of 24 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,996 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 21st percentile – i.e., 21% 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 353,203 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.