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Glucose metabolism during rotational shift-work in healthcare workers

Overview of attention for article published in Diabetologia, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 6,674)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
68 news outlets
twitter
70 X users
facebook
4 Facebook pages
googleplus
1 Google+ user

Readers on

mendeley
261 Mendeley
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Article details
Title
Glucose metabolism during rotational shift-work in healthcare workers
Published in
Diabetologia, May 2017
DOI 10.1007/s00125-017-4317-0
Pubmed ID
Authors
Abstract

Shift-work is associated with circadian rhythm disruption and an increased risk of obesity and type 2 diabetes. We sought to determine the effect of rotational shift-work on glucose metabolism in humans. We studied 12 otherwise healthy nurses performing rotational shift-work using a randomised crossover study design. On each occasion, participants underwent an isotope-labelled mixed meal test during a simulated day shift and a simulated night shift, enabling simultaneous measurement of glucose flux and beta cell function using the oral minimal model. We sought to determine differences in fasting and postprandial glucose metabolism during the day shift vs the night shift. Postprandial glycaemic excursion was higher during the night shift (381±33 vs 580±48 mmol/l per 5 h, p<0.01). The time to peak insulin and C-peptide and nadir glucagon suppression in response to meal ingestion was also delayed during the night shift. While insulin action did not differ between study days, the beta cell responsivity to glucose (59±5 vs 44±4 × 10(-9) min(-1); p<0.001) and disposition index were decreased during the night shift. Impaired beta cell function during the night shift may result from normal circadian variation, the effect of rotational shift-work or a combination of both. As a consequence, higher postprandial glucose concentrations are observed during the night shift.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 70 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 261 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 261 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 44 17%
Student > Master 30 11%
Student > Ph. D. Student 19 7%
Researcher 18 7%
Other 9 3%
Other 23 9%
Unknown 118 45%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 47 18%
Medicine and Dentistry 35 13%
Biochemistry, Genetics and Molecular Biology 14 5%
Agricultural and Biological Sciences 9 3%
Sports and Recreations 5 2%
Other 25 10%
Unknown 126 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 574. 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 10 November 2020.
All research outputs
#50,598
of 33,059,767 outputs
Outputs from Diabetologia
#42
of 6,674 outputs
Outputs of similar age
#854
of 352,869 outputs
Outputs of similar age from Diabetologia
#1
of 61 outputs
Altmetric has tracked 33,059,767 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 6,674 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. 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 352,869 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 61 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 98% of its contemporaries.