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Mendeley readers
Attention Score in Context
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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 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 | 40 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 26% |
Researcher | 7 | 17% |
Student > Bachelor | 6 | 14% |
Student > Ph. D. Student | 5 | 12% |
Other | 2 | 5% |
Other | 4 | 10% |
Unknown | 7 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 24% |
Nursing and Health Professions | 6 | 14% |
Economics, Econometrics and Finance | 5 | 12% |
Business, Management and Accounting | 3 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
Other | 5 | 12% |
Unknown | 11 | 26% |
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 09 September 2023.
All research outputs
#14,651,303
of 25,448,590 outputs
Outputs from BMC Public Health
#10,761
of 17,598 outputs
Outputs of similar age
#184,714
of 369,418 outputs
Outputs of similar age from BMC Public Health
#149
of 249 outputs
Altmetric has tracked 25,448,590 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17,598 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. 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 369,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.