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Open Science Meets Stem Cells: A New Drug Discovery Approach for Neurodegenerative Disorders

Overview of attention for article published in Frontiers in Neuroscience, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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17 X users

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95 Mendeley
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Title
Open Science Meets Stem Cells: A New Drug Discovery Approach for Neurodegenerative Disorders
Published in
Frontiers in Neuroscience, February 2018
DOI 10.3389/fnins.2018.00047
Pubmed ID
Authors

Chanshuai Han, Mathilde Chaineau, Carol X.-Q. Chen, Lenore K. Beitel, Thomas M. Durcan

Abstract

Neurodegenerative diseases are a challenge for drug discovery, as the biological mechanisms are complex and poorly understood, with a paucity of models that faithfully recapitulate these disorders. Recent advances in stem cell technology have provided a paradigm shift, providing researchers with tools to generate human induced pluripotent stem cells (iPSCs) from patient cells. With the potential to generate any human cell type, we can now generate human neurons and develop "first-of-their-kind" disease-relevant assays for small molecule screening. Now that the tools are in place, it is imperative that we accelerate discoveries from the bench to the clinic. Using traditional closed-door research systems raises barriers to discovery, by restricting access to cells, data and other research findings. Thus, a new strategy is required, and the Montreal Neurological Institute (MNI) and its partners are piloting an "Open Science" model. One signature initiative will be that the MNI biorepository will curate and disseminate patient samples in a more accessible manner through open transfer agreements. This feeds into the MNI open drug discovery platform, focused on developing industry-standard assays with iPSC-derived neurons. All cell lines, reagents and assay findings developed in this open fashion will be made available to academia and industry. By removing the obstacles many universities and companies face in distributing patient samples and assay results, our goal is to accelerate translational medical research and the development of new therapies for devastating neurodegenerative disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 19%
Student > Bachelor 15 16%
Student > Ph. D. Student 14 15%
Student > Master 10 11%
Other 5 5%
Other 10 11%
Unknown 23 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 14%
Biochemistry, Genetics and Molecular Biology 12 13%
Medicine and Dentistry 7 7%
Neuroscience 7 7%
Computer Science 4 4%
Other 24 25%
Unknown 28 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 03 April 2019.
All research outputs
#3,672,981
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#3,168
of 11,542 outputs
Outputs of similar age
#79,381
of 446,116 outputs
Outputs of similar age from Frontiers in Neuroscience
#52
of 215 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 72% 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 446,116 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 82% of its contemporaries.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.