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Circadian activity rhythms during the last days of Nothobranchius rachovii’s life: A descriptive model of circadian system breakdown

Overview of attention for article published in Chronobiology International: The Journal of Biological & Medical Rhythm Research, November 2014
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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Title
Circadian activity rhythms during the last days of Nothobranchius rachovii’s life: A descriptive model of circadian system breakdown
Published in
Chronobiology International: The Journal of Biological & Medical Rhythm Research, November 2014
DOI 10.3109/07420528.2014.984040
Pubmed ID
Authors

Alejandro Lucas-Sánchez, Antonio Martínez-Nicolás, Juan Antonio Madrid, Pedro Francisco Almaida-Pagán, Pilar Mendiola, Jorge de Costa

Abstract

Several studies have been performed to identify age-related changes in the circadian system (CS) but the impairment of the CS and its chronodisruption at the end of an organism life have not been studied in depth. Aging commonly affects the input pathways into the biological clock or restraints their processing, therefore simplifying the system output, the overt rhythms. The purpose of this work was to do a complete characterization of changes that occurs in the CS in the last stage of a vertebrate organism life and to develop tools able to detect in which moment of the last days of life is the animal, using an overt rhythm, the rest-activity rhythm (RAR). For that, a fish species proposed as model for aging studies, Nothobranchius rachovii, has been used. A progressive and sequential CS breakdown has been described for the last 22 d of life of N. rachovii (∼7% of total life), suffering a general RAR impairment mainly reflected by changes in phase regularity, complexity, amplitude and the ability to stay synchronized to the LD cycle. Also, an equation of days remaining of life, based on the RAR description, has been calculated and proposed as a tool to identify close-to-death individuals which could be subjected to an adequate restoring treatment to enhance the CS function and improve their well-being.

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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
Czechia 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 29%
Student > Bachelor 6 21%
Student > Ph. D. Student 3 11%
Other 1 4%
Lecturer 1 4%
Other 1 4%
Unknown 8 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 29%
Biochemistry, Genetics and Molecular Biology 4 14%
Medicine and Dentistry 2 7%
Philosophy 1 4%
Nursing and Health Professions 1 4%
Other 4 14%
Unknown 8 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 April 2015.
All research outputs
#8,474,037
of 25,371,288 outputs
Outputs from Chronobiology International: The Journal of Biological & Medical Rhythm Research
#645
of 1,515 outputs
Outputs of similar age
#112,490
of 369,530 outputs
Outputs of similar age from Chronobiology International: The Journal of Biological & Medical Rhythm Research
#9
of 18 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,515 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has gotten more attention than average, scoring higher than 57% 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 369,530 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 18 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 50% of its contemporaries.