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Suicide Rates and Methods in Active Duty Military Personnel, 2005 to 2011: A Cohort Study.

Overview of attention for article published in Annals of Internal Medicine, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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19 news outlets
policy
1 policy source
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20 X users
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2 Facebook pages

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75 Mendeley
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Article details
Title
Suicide Rates and Methods in Active Duty Military Personnel, 2005 to 2011: A Cohort Study.
Published in
Annals of Internal Medicine, June 2016
DOI 10.7326/m15-2785
Pubmed ID
Authors
Abstract

Suicide prevention programs have become ubiquitous among military units; identifying temporal trends and nonclinical factors associated with the chosen suicide methods may help improve suicide prevention strategies. To calculate suicide rates of active duty military personnel and identify those who are at risk for firearm-specific suicide. Retrospective cohort study. Military units in the United States. All active duty enlisted U.S. military personnel from 2005 to 2011. Suicide rates per 100 000 were calculated for each branch. Adjusted odds ratios for firearm-specific suicide were calculated with 95% CIs. 1455 military personnel committed suicide from 2005 to 2011. From 2006 to 2011, the rates were highest among army personnel (19.13 to 29.44 cases per 100 000). Among suicides with a known cause of death, 62% were attributed to firearms. The results of this study also suggest that among army personnel or marines who committed suicide, those with infantry or special operations job classifications were more likely than those in noninfantry positions to use a firearm. Results are generalizable only to enlisted personnel and reflect only stateside suicides. Data regarding previous psychiatric illness, deployment history, and firearms ownership were lacking. These results may help inform policymakers and advisors about differences in risks of suicide and violent suicide among the armed services and may help guide efforts to prevent self-harm within the military. None.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 13%
Other 8 11%
Student > Doctoral Student 6 8%
Student > Master 6 8%
Researcher 6 8%
Other 15 20%
Unknown 24 32%
Readers by discipline
Readers by discipline Count As %
Psychology 16 21%
Medicine and Dentistry 11 15%
Nursing and Health Professions 4 5%
Social Sciences 4 5%
Business, Management and Accounting 3 4%
Other 8 11%
Unknown 29 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 149. 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 10 March 2020.
All research outputs
#350,584
of 34,536,218 outputs
Outputs from Annals of Internal Medicine
#1,336
of 16,977 outputs
Outputs of similar age
#5,044
of 344,635 outputs
Outputs of similar age from Annals of Internal Medicine
#18
of 128 outputs
Altmetric has tracked 34,536,218 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,977 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.3. This one has done particularly well, scoring higher than 92% of its peers.
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 344,635 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.