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Selection and Prioritization of Candidate Drug Targets for Amyotrophic Lateral Sclerosis Through a Meta-Analysis Approach

Overview of attention for article published in Journal of Molecular Neuroscience, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 1,643)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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1 news outlet
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1 X user
patent
2 patents

Citations

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23 Dimensions

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58 Mendeley
Title
Selection and Prioritization of Candidate Drug Targets for Amyotrophic Lateral Sclerosis Through a Meta-Analysis Approach
Published in
Journal of Molecular Neuroscience, February 2017
DOI 10.1007/s12031-017-0898-9
Pubmed ID
Authors

Giovanna Morello, Antonio Gianmaria Spampinato, Francesca Luisa Conforti, Velia D’Agata, Sebastiano Cavallaro

Abstract

Amyotrophic lateral sclerosis (ALS) is a progressive and incurable neurodegenerative disease. Although several compounds have shown promising results in preclinical studies, their translation into clinical trials has failed. This clinical failure is likely due to the inadequacy of the animal models that do not sufficiently reflect the human disease. Therefore, it is important to optimize drug target selection by identifying those that overlap in human and mouse pathology. We have recently characterized the transcriptional profiles of motor cortex samples from sporadic ALS (SALS) patients and differentiated these into two subgroups based on differentially expressed genes, which encode 70 potential therapeutic targets. To prioritize drug target selection, we investigated their degree of conservation in superoxide dismutase 1 (SOD1) G93A transgenic mice, the most widely used ALS animal model. Interspecies comparison of our human expression data with those of eight different SOD1(G93A) datasets present in public repositories revealed the presence of commonly deregulated targets and related biological processes. Moreover, deregulated expression of the majority of our candidate targets occurred at the onset of the disease, offering the possibility to use them for an early and more effective diagnosis and therapy. In addition to highlighting the existence of common key drivers in human and mouse pathology, our study represents the basis for a rational preclinical drug development.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Australia 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 19%
Student > Ph. D. Student 8 14%
Researcher 8 14%
Other 4 7%
Student > Postgraduate 4 7%
Other 11 19%
Unknown 12 21%
Readers by discipline Count As %
Neuroscience 13 22%
Biochemistry, Genetics and Molecular Biology 8 14%
Agricultural and Biological Sciences 6 10%
Medicine and Dentistry 6 10%
Engineering 4 7%
Other 8 14%
Unknown 13 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 27 September 2022.
All research outputs
#2,202,879
of 25,382,440 outputs
Outputs from Journal of Molecular Neuroscience
#29
of 1,643 outputs
Outputs of similar age
#41,459
of 324,937 outputs
Outputs of similar age from Journal of Molecular Neuroscience
#1
of 18 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,643 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 98% 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 324,937 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% 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 done particularly well, scoring higher than 94% of its contemporaries.