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Long-term disabilities after traumatic head injury (THI): a retrospective analysis from a large level-I trauma center in Saudi Arabia

Overview of attention for article published in Injury Epidemiology, November 2017
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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26 tweeters

Citations

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14 Dimensions

Readers on

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59 Mendeley
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Title
Long-term disabilities after traumatic head injury (THI): a retrospective analysis from a large level-I trauma center in Saudi Arabia
Published in
Injury Epidemiology, November 2017
DOI 10.1186/s40621-017-0126-7
Pubmed ID
Authors

Suliman Alghnam, Alaa AlSayyari, Ibrahim Albabtain, Bader Aldebasi, Mohamed Alkelya

Abstract

Traumatic head injuries (THI) are a critical public health problem worldwide, with more than 10 million individuals affected every year. In Saudi Arabia (SA), the burden of THI is unknown even though injury is the leading cause of death and a major cause of disability. Therefore, we aim to estimate the prevalence of long-term of disabilities among survivors of THI treated at a large level-I trauma center in Riyadh. The study included 258 patients, who were hospitalized due to a non-fatal THI between years 2005-2014. Patients (age = 16-60 years) were contacted via the phone and information about their Activity of Daily Living (ADL) and Instrumental Activity of Daily Living (IADL) was ascertained. Univariate analyses were performed to examine patients' characteristics and to estimate the prevalence of any disability. Logistic regression was used to evaluate independent predictors of long-term disability. Respondents were relatively young (mean age = 24.8; SD = 9.8), predominantly males (92.7%) and the majority sustained THI following traffic crashes (91.4%). The average time since the injury was 6.8 years (range = 3-12, SD = 2.6). Close to third of the sample (32.5%) reported at least some limitations in ADL or IADL. Regression analysis suggests that a one-unit increase in Revised Trauma Scale (RTS) was associated with 31% lower odds of disability adjusting for other covariates. While responders with a below high school education were 4.7 times more likely to report a disability than those with at least a college degree (P < 0.05). THI was associated with significant limitations in various aspects of everyday life. The magnitude and impact of THI in Saudi Arabia requires public health measures to prevent these injuries and to improve their health outcomes. Advocates may use these findings to educate the public about secondary and tertiary prevention and elicit support from policymakers to facilitate interventions toward reducing THI's associated disabilities.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 26 tweeters 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 19%
Student > Master 9 15%
Researcher 8 14%
Student > Ph. D. Student 6 10%
Other 5 8%
Other 5 8%
Unknown 15 25%
Readers by discipline Count As %
Medicine and Dentistry 15 25%
Social Sciences 7 12%
Nursing and Health Professions 7 12%
Engineering 5 8%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 7 12%
Unknown 17 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 15 May 2018.
All research outputs
#1,685,422
of 24,137,435 outputs
Outputs from Injury Epidemiology
#88
of 359 outputs
Outputs of similar age
#34,857
of 333,333 outputs
Outputs of similar age from Injury Epidemiology
#3
of 7 outputs
Altmetric has tracked 24,137,435 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 359 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.6. This one has done well, scoring higher than 75% 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 333,333 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 89% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.