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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cancer survival in China, 2003–2005: A population‐based study
|
|---|---|
| Published in |
International Journal of Cancer, October 2014
|
| DOI | 10.1002/ijc.29227 |
| Pubmed ID | |
| Authors |
Hongmei Zeng, Rongshou Zheng, Yuming Guo, Siwei Zhang, Xiaonong Zou, Ning Wang, Limei Zhang, Jingao Tang, Jianguo Chen, Kuangrong Wei, Suqin Huang, Jian Wang, Liang Yu, Deli Zhao, Guohui Song, Jianshun Chen, Yongzhou Shen, Xiaoping Yang, Xiaoping Gu, Feng Jin, Qilong Li, Yanhua Li, Hengming Ge, Fengdong Zhu, Jianmei Dong, Guoping Guo, Ming Wu, Lingbin Du, Xibin Sun, Yutong He, Michel P Coleman, Peter Baade, Wanqing Chen, Xue Qin Yu |
| Abstract |
Limited population-based cancer registry data available in China until now has hampered efforts to inform cancer control policy. Following extensive efforts to improve the systematic cancer surveillance in this country, we report on the largest pooled analysis of cancer survival data in China to date. Of 21 population-based cancer registries, data from 17 registries (n = 138,852 cancer records) were included in the final analysis. Cases were diagnosed in 2003-2005 and followed until the end of 2010. Age-standardized relative survival was calculated using region-specific life tables for all cancers combined and 26 individual cancers. Estimates were further stratified by sex and geographical area. The age-standardized 5-year relative survival for all cancers was 30.9% (95% confidence intervals: 30.6%-31.2%). Female breast cancer had high survival (73.0%) followed by cancers of the colorectum (47.2%), stomach (27.4%), esophagus (20.9%), with lung and liver cancer having poor survival (16.1% and 10.1%), respectively. Survival for women was generally higher than for men. Survival for rural patients was about half that of their urban counterparts for all cancers combined (21.8% vs. 39.5%); the pattern was similar for individual major cancers except esophageal cancer. The poor population survival rates in China emphasize the urgent need for government policy changes and investment to improve health services. While the causes for the striking urban-rural disparities observed are not fully understood, increasing access of health service in rural areas and providing basic health-care to the disadvantaged populations will be essential for reducing this disparity in the future. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| San Marino | 1 | 13% |
| Australia | 1 | 13% |
| China | 1 | 13% |
| Japan | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 162 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 25 | 15% |
| Student > Ph. D. Student | 15 | 9% |
| Researcher | 11 | 7% |
| Student > Doctoral Student | 10 | 6% |
| Student > Bachelor | 9 | 6% |
| Other | 30 | 18% |
| Unknown | 63 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 20% |
| Nursing and Health Professions | 10 | 6% |
| Biochemistry, Genetics and Molecular Biology | 7 | 4% |
| Agricultural and Biological Sciences | 7 | 4% |
| Computer Science | 5 | 3% |
| Other | 34 | 21% |
| Unknown | 68 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 January 2019.
All research outputs
#4,398,369
of 24,558,777 outputs
Outputs from International Journal of Cancer
#2,288
of 12,088 outputs
Outputs of similar age
#46,231
of 259,314 outputs
Outputs of similar age from International Journal of Cancer
#24
of 123 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,088 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 81% of its peers.
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 259,314 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.