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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
twitter
16 X users

Readers on

mendeley
164 Mendeley
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Article details
Title
Association Between Sleep Timing, Obesity, Diabetes: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Cohort Study
Published in
Sleep, January 2017
DOI 10.1093/sleep/zsx014
Pubmed ID
Authors
Abstract

Recent studies implicate inadequate sleep duration and quality in metabolic disease. Fewer studies have examined the timing of sleep, which may be important because of its potential impact on circadian rhythms of metabolic function. We examined the association between sleep timing and metabolic risk among Hispanic/Latino adults. Cross-sectional data from community-based study of 13,429 participants aged 18-74 years. People taking diabetes medications were excluded. Sleep timing was determined from self-reported bedtimes and wake times. Chronotype was defined as the midpoint of sleep on weekends adjusted for sleep duration on weekdays. Other measurements included body mass index (BMI), fasting glucose levels, estimated insulin resistance (HOMA-IR), glucose levels 2 hours post oral glucose ingestion, and hemoglobin A1c. Survey linear regression models tested associations between sleep timing and metabolic measures. Analyses were stratified by diabetes status and age group when significant interactions were observed. Among participants with diabetes, fasting glucose levels were positively associated with bedtime (approximately +3%/hour later, p<.01) and midpoint of sleep (approximately +2%/hour later, p<.05). In participants with and without diabetes combined, HOMA-IR was positively associated with midpoint of sleep (+1.5%/hour later, p<.05), and chronotype (+1.2%/hour later, p<.05). Associations differed by age group. Among those <36 years, later sleep timing was associated with lower BMI, lower fasting glucose, and lower HbA1c, but the opposite association was observed among older participants. Later sleep timing was associated with higher estimated insulin resistance across all groups. Some associations between sleep timing and metabolic measures may be age-dependent.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 164 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 22 13%
Student > Bachelor 16 10%
Researcher 13 8%
Student > Doctoral Student 12 7%
Student > Ph. D. Student 12 7%
Other 32 20%
Unknown 57 35%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 39 24%
Nursing and Health Professions 20 12%
Psychology 9 5%
Biochemistry, Genetics and Molecular Biology 5 3%
Social Sciences 4 2%
Other 16 10%
Unknown 71 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 15 May 2018.
All research outputs
#2,265,681
of 34,411,289 outputs
Outputs from Sleep
#1,313
of 6,053 outputs
Outputs of similar age
#35,739
of 469,150 outputs
Outputs of similar age from Sleep
#15
of 65 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.9. This one has done well, scoring higher than 78% 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 469,150 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.