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Mendeley readers
Attention Score in Context
Title |
Snoring, Inflammatory Markers, Adipokines and Metabolic Syndrome in Apparently Healthy Chinese
|
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Published in |
PLOS ONE, November 2011
|
DOI | 10.1371/journal.pone.0027515 |
Pubmed ID | |
Authors |
Liang Sun, An Pan, Zhijie Yu, Huaixing Li, Aizhen Shi, Danxia Yu, Geng Zhang, Geng Zong, Yong Liu, Xu Lin |
Abstract |
Chronic low-grade inflammation and adipokines dysregulation are linked to mechanisms underscoring the pathogenesis of obesity-related metabolic disorders. Little is known about roles of these cytokines on the association between snoring and metabolic syndrome (MetS). We aimed to investigate whether a cluster of cytokines are related to snoring frequency and its association with MetS in apparently healthy Chinese. |
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 % |
---|---|---|
Unknown | 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 17% |
Student > Master | 5 | 11% |
Student > Bachelor | 5 | 11% |
Other | 4 | 9% |
Student > Ph. D. Student | 3 | 6% |
Other | 9 | 19% |
Unknown | 13 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 26% |
Nursing and Health Professions | 7 | 15% |
Agricultural and Biological Sciences | 3 | 6% |
Engineering | 2 | 4% |
Psychology | 1 | 2% |
Other | 7 | 15% |
Unknown | 15 | 32% |
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 27 March 2012.
All research outputs
#20,156,138
of 22,663,969 outputs
Outputs from PLOS ONE
#172,666
of 193,506 outputs
Outputs of similar age
#114,616
of 125,253 outputs
Outputs of similar age from PLOS ONE
#2,408
of 2,611 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% 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 125,253 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,611 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.