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Cancer mortality in the West Bank, Occupied Palestinian Territory

Overview of attention for article published in BMC Public Health, January 2016
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1 Google+ user

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Title
Cancer mortality in the West Bank, Occupied Palestinian Territory
Published in
BMC Public Health, January 2016
DOI 10.1186/s12889-016-2715-8
Pubmed ID
Authors

Niveen M. E. Abu-Rmeileh, Emilio Antonio Luca Gianicolo, Antonella Bruni, Suzan Mitwali, Maurizio Portaluri, Jawad Bitar, Mutaem Hamad, Rita Giacaman, Maria Angela Vigotti

Abstract

The burden of cancer is difficult to study in the context of the occupied Palestinian territory because of the limited data available. This study aims to evaluate the quality of mortality data and to investigate cancer mortality patterns in the occupied Palestinian territory's West Bank governorates from 1999 to 2009. Death certificates collected by the Palestinian Ministry of Health for Palestinians living in the West Bank were used. Direct and indirect age-standardised mortality rates were computed and used to compare different governorates according to total and specific cancer mortality. Furthermore, standardised proportional mortality ratios were calculated to compare mortality by urban, rural and camp locales. The most common cause of death out of all cancer types was lung cancer among males (22.8 %) and breast cancer among females (21.5 %) followed by prostate cancer for males (9.5 %) and by colon cancer for females (11.4 %). Regional variations in cancer-specific causes of death were observed. The central- West Bank governorates had the lowest mortality for most cancer types among men and women. Mortality for lung cancer was highest in the north among men (SMR 109.6; 95%CI 99.5-120.4). For prostate cancer, mortality was highest in the north (SMR 103.6; 95%CI 88.5-120.5) and in the south (SMR 118.6; 95%CI 98.9-141.0). Breast cancer mortality was highest in the south (SMR 119.3; 95%CI 103.9-136.2). Similar mortality rate patterns were found in urban, rural and camp locales. The quality of the Palestinian mortality registry has improved over time. Results in the West Bank governorates present different mortality patterns. The differences might be explained by personal, contextual and environmental factors that need future in-depth investigations.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 18%
Researcher 3 11%
Student > Master 3 11%
Student > Doctoral Student 1 4%
Lecturer 1 4%
Other 5 18%
Unknown 10 36%
Readers by discipline Count As %
Medicine and Dentistry 5 18%
Environmental Science 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 2 7%
Other 3 11%
Unknown 10 36%
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 14 November 2019.
All research outputs
#15,291,130
of 24,717,821 outputs
Outputs from BMC Public Health
#11,037
of 16,375 outputs
Outputs of similar age
#212,506
of 407,137 outputs
Outputs of similar age from BMC Public Health
#183
of 267 outputs
Altmetric has tracked 24,717,821 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,375 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 31st percentile – i.e., 31% 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 407,137 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 267 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.