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Interleukin-1 as a mediator of fatigue in disease: a narrative review

Overview of attention for article published in Journal of Neuroinflammation, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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1 news outlet
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10 X users
q&a
1 Q&A thread

Citations

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59 Dimensions

Readers on

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142 Mendeley
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Title
Interleukin-1 as a mediator of fatigue in disease: a narrative review
Published in
Journal of Neuroinflammation, January 2017
DOI 10.1186/s12974-017-0796-7
Pubmed ID
Authors

Megan E. Roerink, Marieke E. van der Schaaf, Charles A. Dinarello, Hans Knoop, Jos W. M. van der Meer

Abstract

Fatigue is commonly reported in a variety of illnesses, and it has major impact on quality of life. Previously, it was thought that fatigue originates in the skeletal muscles, leading to cessation of activity. However, more recently, it has become clear that the brain is the central regulator of fatigue perception. It has been suggested that pro-inflammatory cytokines, especially interleukin-1 alpha (IL-1α) and interleukin-1 beta (IL-1β), play a prominent role in the development of central fatigue, and several studies have been performed to elucidate the connection between inflammation and these central processes.In this narrative review, mechanisms of action of IL-1 are described, with special attention to its effect on the central nervous system. In addition, we present a summary of studies that (i) investigated the relationship between circulating IL-1α and IL-1β and fatigue severity and/or (ii) evaluated the effect of inhibiting IL-1 on fatigue. We aim to improve the understanding of fatigue in both inflammatory and non-inflammatory illnesses, which could help develop strategies to treat fatigue more effectively.Reviewing the studies that have been performed, it appears that there is a limited value of measuring circulating IL-1. However, inhibiting IL-1 has a positive effect on severe fatigue in most studies that have been conducted.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 141 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 14%
Student > Master 17 12%
Student > Ph. D. Student 16 11%
Student > Postgraduate 13 9%
Student > Bachelor 12 8%
Other 30 21%
Unknown 34 24%
Readers by discipline Count As %
Medicine and Dentistry 33 23%
Neuroscience 15 11%
Biochemistry, Genetics and Molecular Biology 12 8%
Nursing and Health Professions 8 6%
Agricultural and Biological Sciences 7 5%
Other 27 19%
Unknown 40 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 13 December 2023.
All research outputs
#1,943,284
of 25,562,515 outputs
Outputs from Journal of Neuroinflammation
#211
of 2,961 outputs
Outputs of similar age
#39,200
of 422,919 outputs
Outputs of similar age from Journal of Neuroinflammation
#4
of 39 outputs
Altmetric has tracked 25,562,515 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,961 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 92% 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 422,919 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 90% of its contemporaries.
We're also able to compare this research output to 39 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 92% of its contemporaries.