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Attention Score in Context
| Title |
Reliability of the American Community Survey for unintentional drowning and submersion injury surveillance: a comprehensive assessment of 10 socioeconomic indicators derived from the 2006–2013 annual and multi-year data cycles
|
|---|---|
| Published in |
Injury Epidemiology, December 2015
|
| DOI | 10.1186/s40621-015-0065-0 |
| Pubmed ID | |
| Authors |
Nathaniel Bell, Bo Cai |
| Abstract |
Our objective was to evaluate the reliability and predictability of ten socioeconomic indicators obtained from the 2006-2013 annual and multi-year ACS data cycles for unintentional drowning and submersion injury surveillance. Each indicator was evaluated using its margin of error and coefficient of variation. For the multi-year data cycles we calculated the frequency that estimates for the same geographic areas from consecutive surveys were statistically significantly different. Relative risk estimates of drowning-related deaths were constructed using the National Center for Health Statistics compressed mortality file. All analyses were derived using census counties. Five of the ten socioeconomic indicators derived from the annual and multi-year data cycles produced high reliability CV estimates for at least 85 % of all US counties. On average, differences in socioeconomic characteristics for the same geographic areas for consecutive 3- and 5-year data cycles were unlikely to be caused by sampling error in only 17 % (5-89 %) and 21 % (5-93 %) of all counties. No indicator produced statistically significant relative risk estimates across all data cycles and survey years. The reliability of the annual and multi-year county-level ACS data cycles varies by census indicator. More than 75 % of the differences in estimates between consecutive multi-year surveys are likely to have occurred as a result of sampling error, suggesting that researchers should be judicious when interpreting overlapping survey data as reflective of real changes in socioeconomic conditions. Although no indicator predicted disparities in drowning-related injury mortality across all data cycles and years, further studies are needed to determine if these associations remain consistent at different geographic scales and for injury morbidity. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 24% |
| Student > Postgraduate | 3 | 18% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 35% |
| Nursing and Health Professions | 2 | 12% |
| Social Sciences | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Unknown | 7 | 41% |
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 08 December 2016.
All research outputs
#18,447,592
of 22,856,968 outputs
Outputs from Injury Epidemiology
#294
of 321 outputs
Outputs of similar age
#283,851
of 392,795 outputs
Outputs of similar age from Injury Epidemiology
#7
of 8 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 321 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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