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The impact of neighborhood socioeconomic disparities on injury

Overview of attention for article published in International Journal of Public Health, July 2018
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Title
The impact of neighborhood socioeconomic disparities on injury
Published in
International Journal of Public Health, July 2018
DOI 10.1007/s00038-018-1119-1
Pubmed ID
Authors

Sharon Goldman, Irina Radomislensky, Arnona Ziv, Israel Trauma Group - (ITG), Kobi Peleg

Abstract

To examine the relationship between neighborhood socioeconomic level (NSEL) and injury-related hospitalization. The National Trauma Registry (INTR) and the National Population Census (NPC), including NSEL, were linked by individual identity number. Age-adjusted logistic regression predicted injury hospitalization. Mantel-Haenszel  X2 was used for linear trends. NSEL was divided into 20 clusters. The population comprised 7,412,592 residents, of which 125,829 (1.7%) were hospitalized due to injury. The injury hospitalization rate was at least 42 per 10,000 per year. Except for the very low SEL, an inverse relationship between NSEL and all-cause injury was found: 46.1/10,000 in cluster 3 compared to 22.9/10,000 in cluster 20. Hip fracture-related hospitalizations among ages 65 + decreased as SEL increased (2.19% o in cluster 2 compared to 0.95% in cluster 19). In comparison with Jews, non-Jews were 1.5 times more likely to have an injury-related hospitalization [OR 1.5 (95% CI 1.50-1.55)]. The INTR and the NPC were successfully linked providing individual and injury hospitalization data. The outcomes confirm the strong relationship between injury mechanism and NSEL.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Student > Doctoral Student 4 13%
Researcher 3 10%
Librarian 2 6%
Lecturer 2 6%
Other 8 26%
Unknown 8 26%
Readers by discipline Count As %
Medicine and Dentistry 8 26%
Nursing and Health Professions 4 13%
Social Sciences 2 6%
Unspecified 1 3%
Arts and Humanities 1 3%
Other 2 6%
Unknown 13 42%
Attention Score in Context

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 27 July 2018.
All research outputs
#16,728,456
of 25,385,509 outputs
Outputs from International Journal of Public Health
#1,359
of 1,900 outputs
Outputs of similar age
#210,393
of 341,301 outputs
Outputs of similar age from International Journal of Public Health
#31
of 44 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 24th percentile – i.e., 24% 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 341,301 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.