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An age-period-cohort analysis of female breast cancer mortality from 1990–2009 in China

Overview of attention for article published in International Journal for Equity in Health, September 2015
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Title
An age-period-cohort analysis of female breast cancer mortality from 1990–2009 in China
Published in
International Journal for Equity in Health, September 2015
DOI 10.1186/s12939-015-0211-x
Pubmed ID
Authors

Chunhui Li, Chuanhua Yu, Peigang Wang

Abstract

Breast cancer is the most common cause of cancer-related death among women. In this paper, we studied the variations in the trends of Chinese female breast cancer mortality by age, period and cohort from 1990 to 2009. The mortality data were collected from the Institute for Health Metrics and Evaluation. An age-period-cohort model and Intrinsic Estimator were used to estimate the age effect, period effect and cohort effect on the Chinese adult female breast cancer mortality risk. The age effect on Chinese female breast cancer mortality initially increased, but then declined, and showed a reversed "J" shape with age. The period effect of breast cancer mortality continued to rise with the time period and increased by 59 % from 1990-1994 to 2005-2009. The cohort effect showed that the mortality risk of Chinese females born after 1911 was on the decline and decreased by 2.2336 from 1911 to 1989. The change rate of the cohort effect on breast cancer mortality fluctuated regularly. Three accelerating decreases and three decelerating decreases were noted in the variation law of the change rate. The results of study show the increasing mortality trend of breast cancer in Chinese female from 1990 to 2009, and the breast cancer mortality risk decreased with birth cohort.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Student > Doctoral Student 2 15%
Student > Master 2 15%
Other 1 8%
Researcher 1 8%
Other 0 0%
Unknown 5 38%
Readers by discipline Count As %
Medicine and Dentistry 6 46%
Environmental Science 1 8%
Business, Management and Accounting 1 8%
Mathematics 1 8%
Unknown 4 31%
Attention Score in Context

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 15 June 2022.
All research outputs
#15,934,546
of 25,304,569 outputs
Outputs from International Journal for Equity in Health
#1,629
of 2,203 outputs
Outputs of similar age
#145,349
of 275,569 outputs
Outputs of similar age from International Journal for Equity in Health
#32
of 36 outputs
Altmetric has tracked 25,304,569 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,203 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 25th percentile – i.e., 25% 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 275,569 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.