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Factors associated with skipping breakfast among Inner Mongolia Medical students in China

Overview of attention for article published in BMC Public Health, January 2013
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Title
Factors associated with skipping breakfast among Inner Mongolia Medical students in China
Published in
BMC Public Health, January 2013
DOI 10.1186/1471-2458-13-42
Pubmed ID
Authors

Juan Sun, He Yi, Zhiyue Liu, Yan Wu, Jiang Bian, Yanyan Wu, Yuki Eshita, Gaimei Li, Qing Zhang, Ying Yang

Abstract

Few studies on the breakfast consumption habits of medical students in China have been carried out. The aim of the present study was to determine the prevalence of skipping breakfast and factors associated with skipping breakfast among medical students in Inner Mongolia of China, and to assist in the design of interventions to improve breakfast consumption habits of medical college students in this region.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 <1%
Unknown 147 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 44 30%
Student > Master 21 14%
Student > Postgraduate 10 7%
Researcher 6 4%
Other 4 3%
Other 17 11%
Unknown 46 31%
Readers by discipline Count As %
Medicine and Dentistry 40 27%
Nursing and Health Professions 18 12%
Agricultural and Biological Sciences 9 6%
Social Sciences 8 5%
Sports and Recreations 4 3%
Other 18 12%
Unknown 51 34%
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 19 December 2013.
All research outputs
#17,676,164
of 22,693,205 outputs
Outputs from BMC Public Health
#12,369
of 14,767 outputs
Outputs of similar age
#212,891
of 284,627 outputs
Outputs of similar age from BMC Public Health
#238
of 268 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,767 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 13th percentile – i.e., 13% 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 284,627 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 268 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.