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Depression and Chronic Liver Diseases: Are There Shared Underlying Mechanisms?

Overview of attention for article published in Frontiers in Molecular Neuroscience, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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2 news outlets
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15 X users

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105 Mendeley
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Title
Depression and Chronic Liver Diseases: Are There Shared Underlying Mechanisms?
Published in
Frontiers in Molecular Neuroscience, May 2017
DOI 10.3389/fnmol.2017.00134
Pubmed ID
Authors

Xiaoqin Huang, Xiaoyun Liu, Yongqiang Yu

Abstract

The occurrence of depression is higher in patients with chronic liver disease (CLD) than that in the general population. The mechanism described in previous studies mainly focused on inflammation and stress, which not only exists in CLD, but also emerges in common chronic diseases, leaving the specific mechanism unknown. This review was to summarize the prevalence and risk factors of depression in CLD including chronic hepatitis B, chronic hepatitis, alcoholic liver disease, and non-alcoholic fatty liver disease, and to point out the possible underlying mechanism of this potential link. Clarifying the origins of this common comorbidity (depression and CLD) may provide more information to understand both diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 105 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 15%
Researcher 12 11%
Student > Postgraduate 11 10%
Student > Ph. D. Student 10 10%
Student > Master 10 10%
Other 15 14%
Unknown 31 30%
Readers by discipline Count As %
Medicine and Dentistry 26 25%
Nursing and Health Professions 14 13%
Psychology 7 7%
Neuroscience 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 12 11%
Unknown 37 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 27 February 2023.
All research outputs
#1,266,194
of 24,900,093 outputs
Outputs from Frontiers in Molecular Neuroscience
#85
of 3,257 outputs
Outputs of similar age
#24,878
of 316,024 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#3
of 117 outputs
Altmetric has tracked 24,900,093 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,257 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. 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 316,024 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 92% of its contemporaries.
We're also able to compare this research output to 117 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.