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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Daily sleep duration and risk of metabolic syndrome among middle-aged and older Chinese adults: cross-sectional evidence from the Dongfeng–Tongji cohort study
|
|---|---|
| Published in |
BMC Public Health, February 2015
|
| DOI | 10.1186/s12889-015-1521-z |
| Pubmed ID | |
| Authors |
Jing Wu, Guiqiang Xu, Lijun Shen, Yanmei Zhang, Lulu Song, Siyi Yang, Handong Yang, Yuan Liang, Tangchun Wu, Youjie Wang |
| Abstract |
Evidence from epidemiological studies has demonstrated that a shorter or longer duration of nighttime sleep may increase the risk of metabolic syndrome. Little is known about the association between daily sleep duration, including nighttime sleep and daytime napping duration, and metabolic syndrome. We aimed to examine the association between daily sleep duration and metabolic syndrome and its components in middle-aged and older Chinese adults using data from the Dongfeng-Tongji Cohort study. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 16% |
| Student > Ph. D. Student | 7 | 12% |
| Student > Bachelor | 6 | 10% |
| Researcher | 6 | 10% |
| Student > Postgraduate | 5 | 9% |
| Other | 8 | 14% |
| Unknown | 17 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 33% |
| Nursing and Health Professions | 9 | 16% |
| Psychology | 2 | 3% |
| Computer Science | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 20 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 12 June 2018.
All research outputs
#3,273,154
of 22,796,179 outputs
Outputs from BMC Public Health
#3,775
of 14,855 outputs
Outputs of similar age
#42,889
of 255,550 outputs
Outputs of similar age from BMC Public Health
#60
of 268 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 255,550 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
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 has done well, scoring higher than 77% of its contemporaries.