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From animal models to human disease: a genetic approach for personalized medicine in ALS

Overview of attention for article published in Acta Neuropathologica Communications, July 2016
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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 (93rd percentile)

Mentioned by

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1 news outlet
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12 X users
patent
23 patents

Citations

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117 Dimensions

Readers on

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363 Mendeley
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Title
From animal models to human disease: a genetic approach for personalized medicine in ALS
Published in
Acta Neuropathologica Communications, July 2016
DOI 10.1186/s40478-016-0340-5
Pubmed ID
Authors

Vincent Picher-Martel, Paul N. Valdmanis, Peter V. Gould, Jean-Pierre Julien, Nicolas Dupré

Abstract

Amyotrophic Lateral Sclerosis (ALS) is the most frequent motor neuron disease in adults. Classical ALS is characterized by the death of upper and lower motor neurons leading to progressive paralysis. Approximately 10 % of ALS patients have familial form of the disease. Numerous different gene mutations have been found in familial cases of ALS, such as mutations in superoxide dismutase 1 (SOD1), TAR DNA-binding protein 43 (TDP-43), fused in sarcoma (FUS), C9ORF72, ubiquilin-2 (UBQLN2), optineurin (OPTN) and others. Multiple animal models were generated to mimic the disease and to test future treatments. However, no animal model fully replicates the spectrum of phenotypes in the human disease and it is difficult to assess how a therapeutic effect in disease models can predict efficacy in humans. Importantly, the genetic and phenotypic heterogeneity of ALS leads to a variety of responses to similar treatment regimens. From this has emerged the concept of personalized medicine (PM), which is a medical scheme that combines study of genetic, environmental and clinical diagnostic testing, including biomarkers, to individualized patient care. In this perspective, we used subgroups of specific ALS-linked gene mutations to go through existing animal models and to provide a comprehensive profile of the differences and similarities between animal models of disease and human disease. Finally, we reviewed application of biomarkers and gene therapies relevant in personalized medicine approach. For instance, this includes viral delivering of antisense oligonucleotide and small interfering RNA in SOD1, TDP-43 and C9orf72 mice models. Promising gene therapies raised possibilities for treating differently the major mutations in familial ALS cases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 363 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
France 1 <1%
Argentina 1 <1%
Australia 1 <1%
Unknown 359 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 65 18%
Student > Ph. D. Student 63 17%
Student > Master 55 15%
Researcher 44 12%
Student > Doctoral Student 24 7%
Other 45 12%
Unknown 67 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 75 21%
Neuroscience 72 20%
Medicine and Dentistry 49 13%
Agricultural and Biological Sciences 45 12%
Pharmacology, Toxicology and Pharmaceutical Science 14 4%
Other 35 10%
Unknown 73 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 19 March 2024.
All research outputs
#1,478,883
of 25,608,265 outputs
Outputs from Acta Neuropathologica Communications
#113
of 1,586 outputs
Outputs of similar age
#27,025
of 370,693 outputs
Outputs of similar age from Acta Neuropathologica Communications
#3
of 33 outputs
Altmetric has tracked 25,608,265 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 1,586 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. 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 370,693 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 33 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 93% of its contemporaries.