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A cross-sectional survey on the health status and the health-related quality of life of the elderly after flood disaster in Bazhong city, Sichuan, China

Overview of attention for article published in BMC Public Health, February 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
95 Mendeley
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Title
A cross-sectional survey on the health status and the health-related quality of life of the elderly after flood disaster in Bazhong city, Sichuan, China
Published in
BMC Public Health, February 2015
DOI 10.1186/s12889-015-1402-5
Pubmed ID
Authors

Jun Wu, Jian Xiao, Tong Li, Xiaoshan Li, Huamin Sun, Eric PF Chow, Yihua Lu, Tian, Xiaoyan Li, Qi Wang, Xun Zhuang, Lei Zhang

Abstract

Flood is common in China and causes extensive loss of property and human lives. Elderly is a vulnerable population prone to the detrimental impacts of floods. This survey aims to investigate the health status and the HRQoL of the elderly in Bazhong city after a major flood in 2011.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
Malaysia 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 22%
Student > Ph. D. Student 15 16%
Researcher 9 9%
Student > Bachelor 8 8%
Student > Doctoral Student 5 5%
Other 18 19%
Unknown 19 20%
Readers by discipline Count As %
Nursing and Health Professions 17 18%
Medicine and Dentistry 13 14%
Social Sciences 10 11%
Environmental Science 7 7%
Psychology 6 6%
Other 16 17%
Unknown 26 27%

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 14 November 2015.
All research outputs
#10,759,563
of 19,211,930 outputs
Outputs from BMC Public Health
#7,831
of 12,665 outputs
Outputs of similar age
#119,460
of 273,161 outputs
Outputs of similar age from BMC Public Health
#1
of 1 outputs
Altmetric has tracked 19,211,930 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,665 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 37th percentile – i.e., 37% 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 273,161 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% 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