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The impact of the major causes of death on life expectancy in China: a 60-year longitudinal study

Overview of attention for article published in BMC Public Health, November 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 tweeters

Citations

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20 Dimensions

Readers on

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41 Mendeley
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Title
The impact of the major causes of death on life expectancy in China: a 60-year longitudinal study
Published in
BMC Public Health, November 2014
DOI 10.1186/1471-2458-14-1193
Pubmed ID
Authors

Pengcheng Liu, Chengyue Li, Ying Wang, Wei Zeng, Hua Wang, Honghui Wu, Jun Lu, Mei Sun, Xiaohong Li, Fengshui Chang, Mo Hao

Abstract

In the 12th Five-Year Plan, the Chinese government set the goal of increasing life expectancy by one year. The purpose of this study is to examine the impact of major causes of death on the life expectancy of the Chinese people between 1950 and 2010 and predict changing trends to identify major issues requiring future attention.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Spain 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 24%
Researcher 7 17%
Student > Bachelor 5 12%
Student > Ph. D. Student 4 10%
Other 2 5%
Other 4 10%
Unknown 9 22%
Readers by discipline Count As %
Medicine and Dentistry 9 22%
Nursing and Health Professions 6 15%
Economics, Econometrics and Finance 5 12%
Business, Management and Accounting 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 3 7%
Unknown 13 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 October 2022.
All research outputs
#14,929,039
of 22,962,258 outputs
Outputs from BMC Public Health
#10,970
of 14,960 outputs
Outputs of similar age
#204,624
of 363,296 outputs
Outputs of similar age from BMC Public Health
#179
of 239 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,960 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 23rd percentile – i.e., 23% 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 363,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 239 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.