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Language barrier and its relationship to diabetes and diabetic retinopathy

Overview of attention for article published in BMC Public Health, September 2012
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Title
Language barrier and its relationship to diabetes and diabetic retinopathy
Published in
BMC Public Health, September 2012
DOI 10.1186/1471-2458-12-781
Pubmed ID
Authors

Yingfeng Zheng, Ecosse L Lamoureux, Pei-Chia Peggy Chiang, Ainur Rahman Anuar, Jie Ding, Jie Jin Wang, Paul Mitchell, E-Shyong Tai, Tien Y Wong

Abstract

Language barrier is an important determinant of health care access and health. We examined the associations of English proficiency with type-2 diabetes (T2DM) and diabetic retinopathy (DR) in Asian Indians living in Singapore, an urban city where English is the predominant language of communication.

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X Demographics

The data shown below were collected from the profiles of 2 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Netherlands 1 <1%
Australia 1 <1%
South Africa 1 <1%
Singapore 1 <1%
Unknown 113 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 16%
Student > Bachelor 13 11%
Student > Master 12 10%
Student > Ph. D. Student 11 9%
Student > Postgraduate 7 6%
Other 17 14%
Unknown 39 33%
Readers by discipline Count As %
Medicine and Dentistry 27 23%
Nursing and Health Professions 12 10%
Social Sciences 9 8%
Psychology 7 6%
Agricultural and Biological Sciences 3 3%
Other 16 14%
Unknown 44 37%
Attention Score in Context

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 14 September 2012.
All research outputs
#15,251,053
of 22,678,224 outputs
Outputs from BMC Public Health
#11,257
of 14,754 outputs
Outputs of similar age
#106,178
of 168,451 outputs
Outputs of similar age from BMC Public Health
#245
of 317 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,754 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 16th percentile – i.e., 16% 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 168,451 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.