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A hypothesis study on a four-period prevention model for high altitude disease

Overview of attention for article published in Military Medical Research, January 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 443)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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27 news outlets
blogs
1 blog
twitter
2 X users
facebook
1 Facebook page

Citations

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8 Dimensions

Readers on

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19 Mendeley
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Title
A hypothesis study on a four-period prevention model for high altitude disease
Published in
Military Medical Research, January 2018
DOI 10.1186/s40779-018-0150-0
Pubmed ID
Authors

Xian-Sheng Liu, Xiang-Rong Yang, Lu Liu, Xian-Kui Qin, Yu-Qi Gao

Abstract

High altitude disease (HAD) can reduce combat effectiveness and damage the health of soldiers at high altitudes. The objective of this hypothesis study is to build a four-period prevention model for high altitude disease that can be applied at high altitudes of over 3000 m. We divided the time at high altitude into nine periods, with three stages from the ascent preparation to the descent to the plain, and applied a continuous dynamic and systematic four-period prevention model across the nine periods. Each period of three stages has its own different measures and targets high altitude health care services for the prevention of high altitude disease. A standard four-period prevention model for high altitude disease was constructed for the high altitude health services at the population level. Our hypothesized HAD prevention model represents a continuous dynamic and systematic four-period prevention model across the nine periods. This hypothesis can be tested from three aspects. The first one isassessment of soldiers' operating efficacies. The second is comparison of the long-term high altitude population health basic data and development and utilization of big data. The third is descent population health status comparative study and historical retrospective study on prevention. As we know, it is necessary to protect soldiers' health through the ascent and descent. Through the standard four-period model, we can protect soldiers' health by preventing high altitude diseases, screening the susceptible population, securely tracking their location and maintaining soldiers' health statuses; we also maintain their operational capabilities, eliminate their psychological fears and ease their family troubles.

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The data shown below were collected from the profiles of 2 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 16%
Student > Doctoral Student 2 11%
Student > Bachelor 2 11%
Researcher 2 11%
Professor 1 5%
Other 1 5%
Unknown 8 42%
Readers by discipline Count As %
Medicine and Dentistry 6 32%
Biochemistry, Genetics and Molecular Biology 2 11%
Decision Sciences 1 5%
Social Sciences 1 5%
Engineering 1 5%
Other 0 0%
Unknown 8 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 216. 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 19 November 2021.
All research outputs
#179,105
of 25,420,980 outputs
Outputs from Military Medical Research
#6
of 443 outputs
Outputs of similar age
#4,145
of 450,556 outputs
Outputs of similar age from Military Medical Research
#2
of 7 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 443 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done particularly well, scoring higher than 98% 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 450,556 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 99% 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 5 of them.