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Socioeconomic status and metabolic syndrome in the general population of China: a cross-sectional study

Overview of attention for article published in BMC Public Health, October 2012
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
69 Mendeley
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Title
Socioeconomic status and metabolic syndrome in the general population of China: a cross-sectional study
Published in
BMC Public Health, October 2012
DOI 10.1186/1471-2458-12-921
Pubmed ID
Authors

Yiqiang Zhan, Jinming Yu, Ruoqing Chen, Junling Gao, Rongjing Ding, Yuanyuan Fu, Lijun Zhang, Dayi Hu

Abstract

Individual socioeconomic status (SES) has been found to be associated with cardiovascular diseases in developed countries, but the association between individual SES and metabolic syndrome (MetS) is still unclear in China. The objective of this study was to investigate the association between individual SES and MetS in China.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Master 12 17%
Student > Bachelor 8 12%
Student > Ph. D. Student 7 10%
Student > Postgraduate 4 6%
Other 4 6%
Unknown 21 30%
Readers by discipline Count As %
Medicine and Dentistry 22 32%
Nursing and Health Professions 6 9%
Agricultural and Biological Sciences 5 7%
Biochemistry, Genetics and Molecular Biology 3 4%
Chemistry 2 3%
Other 8 12%
Unknown 23 33%

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 09 November 2012.
All research outputs
#5,666,080
of 10,502,506 outputs
Outputs from BMC Public Health
#5,049
of 7,662 outputs
Outputs of similar age
#55,218
of 118,180 outputs
Outputs of similar age from BMC Public Health
#165
of 274 outputs
Altmetric has tracked 10,502,506 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,662 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 30th percentile – i.e., 30% 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 118,180 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 274 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.