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Relationships between depressive symptoms and self-reported unintentional injuries: the cross-sectional population–based FIN-D2D survey

Overview of attention for article published in BMC Public Health, July 2012
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22 Mendeley
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Title
Relationships between depressive symptoms and self-reported unintentional injuries: the cross-sectional population–based FIN-D2D survey
Published in
BMC Public Health, July 2012
DOI 10.1186/1471-2458-12-516
Pubmed ID
Authors

Katariina Korniloff, Arja Häkkinen, Hannu J Koponen, Hannu Kautiainen, Salme Järvenpää, Markku Peltonen, Pekka Mäntyselkä, Olli Kampman, Heikki Oksa, Mauno Vanhala

Abstract

There is a lack of knowledge on the influence of different levels of physical activity (PA) on unintentional injuries among those with depressive symptoms (DS). The aim of this study was to evaluate the relationship between PA categories and unintentional injuries among participants with and without DS based on a cross-sectional population-based FIN-D2D survey conducted in 2007.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 14%
Student > Doctoral Student 3 14%
Other 2 9%
Student > Bachelor 2 9%
Researcher 2 9%
Other 7 32%
Unknown 3 14%
Readers by discipline Count As %
Medicine and Dentistry 4 18%
Nursing and Health Professions 3 14%
Psychology 2 9%
Engineering 2 9%
Social Sciences 2 9%
Other 4 18%
Unknown 5 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 July 2012.
All research outputs
#12,856,791
of 22,669,724 outputs
Outputs from BMC Public Health
#8,898
of 14,748 outputs
Outputs of similar age
#88,042
of 164,332 outputs
Outputs of similar age from BMC Public Health
#163
of 319 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,748 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 38th percentile – i.e., 38% 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 164,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.