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Fine-Tuning ER Stress Signal Transducers to Treat Amyotrophic Lateral Sclerosis

Overview of attention for article published in Frontiers in Molecular Neuroscience, July 2017
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Title
Fine-Tuning ER Stress Signal Transducers to Treat Amyotrophic Lateral Sclerosis
Published in
Frontiers in Molecular Neuroscience, July 2017
DOI 10.3389/fnmol.2017.00216
Pubmed ID
Authors

Danilo B. Medinas, Jose V. González, Paulina Falcon, Claudio Hetz

Abstract

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the progressive loss of motoneurons and paralysis. The mechanisms underlying neuronal degeneration in ALS are starting to be elucidated, highlighting disturbances in motoneuron proteostasis. Endoplasmic reticulum (ER) stress has emerged as an early pathogenic event underlying motoneuron vulnerability and denervation in ALS. Maintenance of ER proteostasis is controlled by a dynamic signaling network known as the unfolded protein response (UPR). Inositol-requiring enzyme 1 (IRE1) is an ER-located kinase and endoribonuclease that operates as a major ER stress transducer, mediating the establishment of adaptive and pro-apoptotic programs. Here we discuss current evidence supporting the role of ER stress in motoneuron demise in ALS and build the rational to target IRE1 to ameliorate neurodegeneration.

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The data shown below were collected from the profiles of 2 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Bachelor 7 15%
Student > Ph. D. Student 7 15%
Student > Doctoral Student 3 7%
Other 2 4%
Other 3 7%
Unknown 14 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 22%
Neuroscience 10 22%
Agricultural and Biological Sciences 5 11%
Medicine and Dentistry 3 7%
Computer Science 1 2%
Other 3 7%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 July 2017.
All research outputs
#17,905,157
of 22,988,380 outputs
Outputs from Frontiers in Molecular Neuroscience
#2,070
of 2,902 outputs
Outputs of similar age
#224,851
of 313,314 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#80
of 115 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,902 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 313,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.