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Human iPSC-Based Models for the Development of Therapeutics Targeting Neurodegenerative Lysosomal Storage Diseases

Overview of attention for article published in Frontiers in Molecular Biosciences, September 2020
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2 X users

Citations

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14 Dimensions

Readers on

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44 Mendeley
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Title
Human iPSC-Based Models for the Development of Therapeutics Targeting Neurodegenerative Lysosomal Storage Diseases
Published in
Frontiers in Molecular Biosciences, September 2020
DOI 10.3389/fmolb.2020.00224
Pubmed ID
Authors

Marco Luciani, Angela Gritti, Vasco Meneghini

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 16%
Researcher 7 16%
Student > Doctoral Student 5 11%
Student > Master 4 9%
Student > Ph. D. Student 4 9%
Other 6 14%
Unknown 11 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 27%
Agricultural and Biological Sciences 6 14%
Unspecified 2 5%
Neuroscience 2 5%
Medicine and Dentistry 2 5%
Other 3 7%
Unknown 17 39%
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 19 October 2020.
All research outputs
#18,751,750
of 23,243,271 outputs
Outputs from Frontiers in Molecular Biosciences
#2,034
of 3,976 outputs
Outputs of similar age
#307,269
of 408,076 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#72
of 131 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,976 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 33rd percentile – i.e., 33% 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 408,076 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.