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Cortisol levels in unmedicated patients with unipolar and bipolar major depression using hair and saliva specimens

Overview of attention for article published in International Journal of Bipolar Disorders, March 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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1 blog
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3 X users
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1 Facebook page

Citations

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11 Dimensions

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mendeley
40 Mendeley
Title
Cortisol levels in unmedicated patients with unipolar and bipolar major depression using hair and saliva specimens
Published in
International Journal of Bipolar Disorders, March 2020
DOI 10.1186/s40345-020-0180-x
Pubmed ID
Authors

Andrés Herane-Vives, Danilo Arnone, Valeria de Angel, Andrew Papadopoulos, Toby Wise, Luis Alameda, Kia-Chong Chua, Allan H. Young, Anthony J. Cleare

Abstract

Differentiating between unipolar and bipolar depression can be clinically challenging, especially at first presentation. Patterns of cortisol secretion could aid diagnostic discrimination in affective disorders although there has been little comparative research to date. In this study, we investigated acute (saliva) and chronic (hair) cortisol levels concurrently in unmedicated unipolar and bipolar disorders by using conventional diagnostic criteria and self-report measures. Patients with unipolar and bipolar major depression and healthy controls were recruited and assessed. Cortisol levels were extracted from saliva and hair specimens. Depressive features were investigated according to diagnostic groups and with a continuous self-report measure of bipolarity using the Hypomania Checklist (HCL-33). Whilst a trend towards a reduction in the total daily salivary cortisol output-area under the curve with respect to the ground (AUCg)-was detected in depressive disorders across diagnosis, the self-administrated bipolarity index suggested that an increase in bipolarity symptoms predicted lower cortisol levels using AUCg. Chronic cortisol measurement did not discriminate unipolar from bipolar depression. Results suggested that whilst a low total daily salivary cortisol output (AUCg) might be associated with depressive symptoms, a self-reported measure of bipolarity predicts lower daily cortisol output.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 10%
Student > Ph. D. Student 4 10%
Student > Bachelor 2 5%
Other 2 5%
Student > Doctoral Student 1 3%
Other 3 8%
Unknown 24 60%
Readers by discipline Count As %
Nursing and Health Professions 3 8%
Neuroscience 3 8%
Agricultural and Biological Sciences 2 5%
Social Sciences 2 5%
Physics and Astronomy 1 3%
Other 3 8%
Unknown 26 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 09 March 2020.
All research outputs
#3,629,975
of 23,197,711 outputs
Outputs from International Journal of Bipolar Disorders
#95
of 291 outputs
Outputs of similar age
#76,488
of 361,698 outputs
Outputs of similar age from International Journal of Bipolar Disorders
#4
of 11 outputs
Altmetric has tracked 23,197,711 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 291 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has gotten more attention than average, scoring higher than 66% 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 361,698 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 11 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 63% of its contemporaries.