↓ Skip to main content
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Readers on

mendeley
77 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Impact of shift work schedules on actigraphy-based measures of sleep in Hispanic workers: results from the Hispanic Community Health Study/Study of Latinos ancillary Sueño study
Published in
Sleep, July 2018
DOI 10.1093/sleep/zsy131
Pubmed ID
Authors
Abstract

To describe sleep characteristics of shift workers compared to day workers from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Sueño ancillary study, and test the hypothesis that shift work is associated with shorter sleep duration, worse sleep quality, greater sleep variability and other sleep/health related factors. Employed adults (N=1,253, mean age 46.3 years, 36.3% male) from the Sueño study were included. Measures of sleep duration, timing, regularity and continuity were calculated from 7-days of wrist-activity monitoring. Participants provided information on demographics, employment, work schedule (day, afternoon, night, split, irregular and rotating), sleepiness, depressive symptoms, medications, caffeine, and alcohol use. Survey linear regression adjusting for age, sex, background, site, number of jobs, and work hours were used. In age and sex-adjusted models, all shift work schedules were associated with delayed sleep timing. Night and irregular schedules were associated with shorter sleep duration, greater napping, and greater variability of sleep. Afternoon and rotating shifts were associated with lower sleep regularity. In fully adjusted models night and irregular schedules remained associated with shorter sleep duration, later sleep midpoint, and greater variability in sleep measures compared to day schedules. Split schedules were associated with, less time in bed, less sleep fragmentation, and less wake during the sleep period than day schedules. Work schedule significantly impacts sleep-wake with substantial differences between day work and other types of schedule. Detailed assessment of work schedule type not just night shift should be considered as an important covariate when examining the association between sleep and health outcomes.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 9 12%
Student > Ph. D. Student 8 10%
Researcher 8 10%
Student > Master 7 9%
Student > Doctoral Student 4 5%
Other 10 13%
Unknown 31 40%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 11 14%
Psychology 8 10%
Nursing and Health Professions 6 8%
Sports and Recreations 4 5%
Neuroscience 3 4%
Other 6 8%
Unknown 39 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 March 2019.
All research outputs
#11,353,771
of 34,376,207 outputs
Outputs from Sleep
#3,483
of 6,053 outputs
Outputs of similar age
#140,459
of 371,550 outputs
Outputs of similar age from Sleep
#24
of 51 outputs
Altmetric has tracked 34,376,207 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
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 is in the 42nd percentile – i.e., 42% 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 371,550 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 62% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.