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Shift work and its association with metabolic disorders

Overview of attention for article published in Diabetology & Metabolic Syndrome, May 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 778)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
65 news outlets
blogs
2 blogs
policy
1 policy source
twitter
30 X users
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
310 Mendeley
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Title
Shift work and its association with metabolic disorders
Published in
Diabetology & Metabolic Syndrome, May 2015
DOI 10.1186/s13098-015-0041-4
Pubmed ID
Authors

Maria Carlota Borba Brum, Fábio Fernandes Dantas Filho, Claudia Carolina Schnorr, Gustavo Borchardt Bottega, Ticiana C. Rodrigues

Abstract

Although the health burden of shift work has not been extensively studied, evidence suggests that it may affect the metabolic balance and cause obesity and other metabolic disorders. Sleep deprivation, circadian desynchronization and behavioral changes in diet and physical activity are among the most commonly mentioned factors in studies of the association between night work and metabolic disorders. Individual adaptation to night work depends greatly on personal factors such as family and social life, but occupational interventions may also make a positive contribution to the transition to shift work, such as exposure to bright lights during the night shift, melatonin use, shift regularity and clockwise rotation, and dietary adaptations for the metabolic needs of night workers. The evaluation of the impact of night work on health and of the mechanisms underlying this relationship can serve as a basis for intervention strategies to minimize the health burden of shift work. This review aimed to identify highlights regarding therapeutic implications following the association between night and shift work and metabolic disorders, as well as the mechanisms and pathways responsible for these relationships.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 310 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
Unknown 307 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 79 25%
Student > Bachelor 42 14%
Student > Ph. D. Student 31 10%
Researcher 22 7%
Student > Postgraduate 19 6%
Other 50 16%
Unknown 67 22%
Readers by discipline Count As %
Medicine and Dentistry 69 22%
Nursing and Health Professions 37 12%
Unspecified 25 8%
Agricultural and Biological Sciences 23 7%
Biochemistry, Genetics and Molecular Biology 19 6%
Other 51 16%
Unknown 86 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 544. 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 07 October 2021.
All research outputs
#43,866
of 25,097,836 outputs
Outputs from Diabetology & Metabolic Syndrome
#2
of 778 outputs
Outputs of similar age
#385
of 271,354 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#2
of 18 outputs
Altmetric has tracked 25,097,836 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 778 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done particularly well, scoring higher than 99% 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 271,354 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 99% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.