Title |
Interaction between physical activity and sleep duration in relation to insulin resistance among non-diabetic Chinese adults
|
---|---|
Published in |
BMC Public Health, March 2012
|
DOI | 10.1186/1471-2458-12-247 |
Pubmed ID | |
Authors |
Hui Zuo, Zumin Shi, Baojun Yuan, Yue Dai, Gang Hu, Gaolin Wu, Akhtar Hussain |
Abstract |
It is of a public health interest to explore the relationship between different types of physical activity, sleep duration and diabetes/insulin resistance. However, little is known about such relationship. This study examines the single and joint associations of different types of physical activity, and sleep duration on insulin resistance among non-diabetic Chinese adults. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Finland | 1 | <1% |
Unknown | 113 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 14% |
Researcher | 12 | 11% |
Student > Bachelor | 11 | 10% |
Student > Postgraduate | 9 | 8% |
Student > Ph. D. Student | 9 | 8% |
Other | 21 | 18% |
Unknown | 36 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 26 | 23% |
Nursing and Health Professions | 10 | 9% |
Psychology | 7 | 6% |
Social Sciences | 6 | 5% |
Sports and Recreations | 5 | 4% |
Other | 17 | 15% |
Unknown | 43 | 38% |
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 01 April 2012.
All research outputs
#15,242,847
of 22,664,267 outputs
Outputs from BMC Public Health
#11,244
of 14,744 outputs
Outputs of similar age
#102,126
of 160,394 outputs
Outputs of similar age from BMC Public Health
#139
of 174 outputs
Altmetric has tracked 22,664,267 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 14,744 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 160,394 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.