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X Demographics
Mendeley readers
Attention Score in Context
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
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Published in |
BMC Public Health, February 2015
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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. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 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 | 113 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 19 | 17% |
Student > Ph. D. Student | 16 | 14% |
Researcher | 14 | 12% |
Student > Bachelor | 9 | 8% |
Student > Doctoral Student | 6 | 5% |
Other | 19 | 17% |
Unknown | 32 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 17 | 15% |
Medicine and Dentistry | 15 | 13% |
Social Sciences | 11 | 10% |
Environmental Science | 9 | 8% |
Agricultural and Biological Sciences | 7 | 6% |
Other | 18 | 16% |
Unknown | 38 | 33% |
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
#13,080,280
of 22,796,179 outputs
Outputs from BMC Public Health
#9,138
of 14,855 outputs
Outputs of similar age
#117,689
of 255,123 outputs
Outputs of similar age from BMC Public Health
#137
of 251 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. 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 255,123 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 53% of its contemporaries.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.