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Assessment of the cortisol awakening response: Expert consensus guidelines

Overview of attention for article published in Psychoneuroendocrinology, January 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
13 news outlets
blogs
1 blog
policy
1 policy source
twitter
12 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
624 Dimensions

Readers on

mendeley
605 Mendeley
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Title
Assessment of the cortisol awakening response: Expert consensus guidelines
Published in
Psychoneuroendocrinology, January 2016
DOI 10.1016/j.psyneuen.2015.10.010
Pubmed ID
Authors

Tobias Stalder, Clemens Kirschbaum, Brigitte M. Kudielka, Emma K. Adam, Jens C. Pruessner, Stefan Wüst, Samantha Dockray, Nina Smyth, Phil Evans, Dirk H. Hellhammer, Robert Miller, Mark A. Wetherell, Sonia J. Lupien, Angela Clow

Abstract

The cortisol awakening response (CAR), the marked increase in cortisol secretion over the first 30-45min after morning awakening, has been related to a wide range of psychosocial, physical and mental health parameters, making it a key variable for psychoneuroendocrinological research. The CAR is typically assessed from self-collection of saliva samples within the domestic setting. While this confers ecological validity, it lacks direct researcher oversight which can be problematic as the validity of CAR measurement critically relies on participants closely following a timed sampling schedule, beginning with the moment of awakening. Researchers assessing the CAR thus need to take important steps to maximize and monitor saliva sampling accuracy as well as consider a range of other relevant methodological factors. To promote best practice of future research in this field, the International Society of Psychoneuroendocrinology initiated an expert panel charged with (i) summarizing relevant evidence and collective experience on methodological factors affecting CAR assessment and (ii) formulating clear consensus guidelines for future research. The present report summarizes the results of this undertaking. Consensus guidelines are presented on central aspects of CAR assessment, including objective control of sampling accuracy/adherence, participant instructions, covariate accounting, sampling protocols, quantification strategies as well as reporting and interpreting of CAR data. Meeting these methodological standards in future research will create more powerful research designs, thus yielding more reliable and reproducible results and helping to further advance understanding in this evolving field of research.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 605 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
United States 2 <1%
Turkey 1 <1%
Netherlands 1 <1%
Unknown 598 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 110 18%
Researcher 93 15%
Student > Bachelor 70 12%
Student > Master 65 11%
Student > Doctoral Student 62 10%
Other 100 17%
Unknown 105 17%
Readers by discipline Count As %
Psychology 198 33%
Medicine and Dentistry 79 13%
Neuroscience 54 9%
Nursing and Health Professions 22 4%
Agricultural and Biological Sciences 18 3%
Other 88 15%
Unknown 146 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 118. 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 14 May 2022.
All research outputs
#273,757
of 21,792,010 outputs
Outputs from Psychoneuroendocrinology
#89
of 3,604 outputs
Outputs of similar age
#4,803
of 302,722 outputs
Outputs of similar age from Psychoneuroendocrinology
#6
of 89 outputs
Altmetric has tracked 21,792,010 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,604 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done particularly well, scoring higher than 97% 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 302,722 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 98% of its contemporaries.
We're also able to compare this research output to 89 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.