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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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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
8 tweeters
q&a
1 Q&A thread

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
117 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.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 116 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 15%
Student > Ph. D. Student 16 14%
Student > Master 15 13%
Student > Postgraduate 13 11%
Student > Bachelor 10 9%
Other 25 21%
Unknown 21 18%
Readers by discipline Count As %
Medicine and Dentistry 28 24%
Neuroscience 13 11%
Biochemistry, Genetics and Molecular Biology 10 9%
Agricultural and Biological Sciences 7 6%
Nursing and Health Professions 7 6%
Other 25 21%
Unknown 27 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 05 April 2021.
All research outputs
#1,405,605
of 19,001,205 outputs
Outputs from Journal of Neuroinflammation
#133
of 2,252 outputs
Outputs of similar age
#36,984
of 374,849 outputs
Outputs of similar age from Journal of Neuroinflammation
#1
of 5 outputs
Altmetric has tracked 19,001,205 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 2,252 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 94% 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 374,849 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them