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A human neuronal model of Niemann Pick C disease developed from stem cells isolated from patient’s skin

Overview of attention for article published in Orphanet Journal of Rare Diseases, February 2013
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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2 X users
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10 patents
facebook
1 Facebook page

Citations

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30 Dimensions

Readers on

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50 Mendeley
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Title
A human neuronal model of Niemann Pick C disease developed from stem cells isolated from patient’s skin
Published in
Orphanet Journal of Rare Diseases, February 2013
DOI 10.1186/1750-1172-8-34
Pubmed ID
Authors

Natascha Bergamin, Andrea Dardis, Antonio Beltrami, Daniela Cesselli, Silvia Rigo, Stefania Zampieri, Rossana Domenis, Bruno Bembi, Carlo Alberto Beltrami

Abstract

Niemann Pick C (NPC) disease is a neurovisceral lysosomal storage disorder due to mutations in NPC1 or NPC2 genes, characterized by the accumulation of endocytosed unesterified cholesterol, gangliosides and other lipids within the lysosomes/late endosomes. Even if the neurodegeneration is the main feature of the disease, the analysis of the molecular pathways linking the lipid accumulation and cellular damage in the brain has been challenging due to the limited availability of human neuronal models.

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

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Italy 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 9 18%
Student > Bachelor 6 12%
Other 5 10%
Student > Doctoral Student 4 8%
Other 10 20%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 28%
Biochemistry, Genetics and Molecular Biology 9 18%
Medicine and Dentistry 9 18%
Neuroscience 3 6%
Chemical Engineering 2 4%
Other 6 12%
Unknown 7 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 26 March 2024.
All research outputs
#3,004,280
of 23,563,389 outputs
Outputs from Orphanet Journal of Rare Diseases
#419
of 2,715 outputs
Outputs of similar age
#24,996
of 194,658 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#6
of 43 outputs
Altmetric has tracked 23,563,389 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,715 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 84% 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 194,658 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 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.