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Gender differences in predictors of colorectal cancer screening uptake: a national cross sectional study based on the health belief model

Overview of attention for article published in BMC Public Health, July 2013
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1 tweeter

Citations

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73 Dimensions

Readers on

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123 Mendeley
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Title
Gender differences in predictors of colorectal cancer screening uptake: a national cross sectional study based on the health belief model
Published in
BMC Public Health, July 2013
DOI 10.1186/1471-2458-13-677
Pubmed ID
Authors

Reuben K Wong, Mee Lian Wong, Yiong Huak Chan, Zhu Feng, Chun Tao Wai, Khay Guan Yeoh

Abstract

Colorectal Cancer (CRC) is rapidly rising in Asia, but screening uptake remains poor. Although studies have reported gender differences in screening rates, there have been few studies assessing gender specific perceptions and barriers towards CRC screening, based on behavioral frameworks. We applied the Health Belief Model to identify gender-specific predictors of CRC screening in an Asian population.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Unknown 122 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 15%
Student > Bachelor 18 15%
Student > Master 18 15%
Student > Ph. D. Student 13 11%
Other 9 7%
Other 19 15%
Unknown 27 22%
Readers by discipline Count As %
Medicine and Dentistry 35 28%
Nursing and Health Professions 20 16%
Psychology 7 6%
Social Sciences 5 4%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 14 11%
Unknown 38 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 July 2013.
All research outputs
#18,993,302
of 21,347,367 outputs
Outputs from BMC Public Health
#12,959
of 13,834 outputs
Outputs of similar age
#153,883
of 176,588 outputs
Outputs of similar age from BMC Public Health
#17
of 17 outputs
Altmetric has tracked 21,347,367 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,834 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 1st percentile – i.e., 1% 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 176,588 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.