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Suicide in a rural area of coastal Kenya

Overview of attention for article published in BMC Psychiatry, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)

Mentioned by

blogs
1 blog
twitter
5 tweeters
facebook
1 Facebook page

Citations

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7 Dimensions

Readers on

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75 Mendeley
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Title
Suicide in a rural area of coastal Kenya
Published in
BMC Psychiatry, August 2018
DOI 10.1186/s12888-018-1855-z
Pubmed ID
Authors

Mary A. Bitta, Ioannis Bakolis, Symon M. Kariuki, Gideon Nyutu, George Mochama, Graham Thornicroft, Charles R. J. C. Newton

Abstract

Suicide accounts for approximately 1.4% of deaths globally and is the 15th leading cause of death overall. There are no reliable data on the epidemiology of completed suicide in rural areas of many developing countries, yet suicide is an indicator of the sustainable development goals on health. Using data collected between 2008 and 2016 from the Kilifi Health and Demographic Surveillance System in rural Kenya, we retrospectively determined the incidence rate and risk factors for completed suicide. During the period, 104 people died by suicide, contributing to 0.78% (95% CI = 0.74-1.10) of all deaths. The mean annual incidence rate of suicide was 4.61 (95% CI = 3.80-5.58) per 100,000 person years of observation (pyo). The annual incidence rate for men was higher than that of women (IRR = 3.05, 95% CI = 1.98-4.70, p < 0.001) and it increased with age (IRR = 2.73, 95% CI = 2.30-3.24, p < 0.001). People aged > 64 years had the highest mean incidence rate of 18.58 (95% CI = 11.99-28.80) per 100,000 pyo. Completed suicide was associated with age, being male, and living in a house whose wall is made of scrap material, which is a proxy marker of extreme poverty in this region (OR = 5.5, 95% CI = 4.0-7.0, p = 0.02). Most cases (76%) completed suicide by hanging themselves. Spatial heterogeneity of rates of suicides was observed across the enumeration zones of the KHDSS. Suicide is common in this area, but the incidence of completed suicide in rural Kenya may be an underestimate of the true burden. Like in other studies, suicide was associated with older age, being male and poverty, but other medical and neuropsychiatric risk factors should be investigated in future studies.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

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.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 13%
Researcher 9 12%
Student > Postgraduate 8 11%
Student > Ph. D. Student 8 11%
Student > Bachelor 6 8%
Other 8 11%
Unknown 26 35%
Readers by discipline Count As %
Social Sciences 12 16%
Medicine and Dentistry 10 13%
Psychology 8 11%
Nursing and Health Professions 6 8%
Business, Management and Accounting 2 3%
Other 11 15%
Unknown 26 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 09 June 2019.
All research outputs
#2,870,831
of 22,441,655 outputs
Outputs from BMC Psychiatry
#1,056
of 4,578 outputs
Outputs of similar age
#56,495
of 299,269 outputs
Outputs of similar age from BMC Psychiatry
#1
of 1 outputs
Altmetric has tracked 22,441,655 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,578 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done well, scoring higher than 76% 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 299,269 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them