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Estimates of cancer incidence and mortality in China, 2013

Overview of attention for article published in Ai zheng Aizheng Chinese journal of cancer, August 2017
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About this Attention Score

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

Mentioned by

twitter
3 tweeters

Citations

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158 Dimensions

Readers on

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50 Mendeley
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Title
Estimates of cancer incidence and mortality in China, 2013
Published in
Ai zheng Aizheng Chinese journal of cancer, August 2017
DOI 10.1186/s40880-017-0234-3
Pubmed ID
Authors

Rongshou Zheng, Hongmei Zeng, Siwei Zhang, Wanqing Chen

Abstract

Population-based cancer registration data are collected by the National Central Cancer Registry in China every year. Cancer incident cases and cancer deaths in 2013 were analyzed. Through the procedure of quality control, reported data from 255 registries were accepted to establish the national database for cancer estimates. Incidences and mortalities were calculated with stratification by area (urban/rural), sex (male/female), age group (0, 1-4, 5-9, 10-14 … 80-84, and 85-year-old and above), and cancer site. The structure of Segi's population was used for the calculation of age-standardized rates (ASR). Top 10 most common cancers and leading causes of cancer deaths were listed. In 2013, 3,682,200 new cancer cases and 2,229,300 cancer deaths were estimated in China based on the pooled data from 255 cancer registries, covering 16.65% of the national population. The incidence was 270.59/100,000, with an ASR of 186.15/100,000; the mortality was 166.83/100,000, with an ASR of 108.94/100,000. The top 10 most common cancer sites were the lung, stomach, liver, colorectum, female breast, esophagus, thyroid, cervix, brain, and pancreas. The ten leading causes of cancer deaths were lung cancer, liver cancer, gastric cancer, esophageal cancer, colorectal cancer, pancreatic cancer, female breast cancer, brain tumor, leukemia, and lymphoma. Cancer leaves serious disease burden in China with high incidence and mortality. Lung cancer was the most common cancer and the leading cause of cancer death in China. Efficient control strategy is needed, especially for major cancers.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Master 8 16%
Student > Bachelor 4 8%
Student > Ph. D. Student 3 6%
Other 3 6%
Other 5 10%
Unknown 18 36%
Readers by discipline Count As %
Nursing and Health Professions 8 16%
Medicine and Dentistry 8 16%
Agricultural and Biological Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 7 14%
Unknown 21 42%

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 21 August 2017.
All research outputs
#11,661,379
of 20,867,471 outputs
Outputs from Ai zheng Aizheng Chinese journal of cancer
#140
of 251 outputs
Outputs of similar age
#128,854
of 290,143 outputs
Outputs of similar age from Ai zheng Aizheng Chinese journal of cancer
#1
of 1 outputs
Altmetric has tracked 20,867,471 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 251 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 44th percentile – i.e., 44% 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 290,143 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