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Human iPSC models of neuronal ceroid lipofuscinosis capture distinct effects of TPP1 and CLN3 mutations on the endocytic pathway

Overview of attention for article published in Human Molecular Genetics, November 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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
5 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
121 Dimensions

Readers on

mendeley
145 Mendeley
citeulike
1 CiteULike
Title
Human iPSC models of neuronal ceroid lipofuscinosis capture distinct effects of TPP1 and CLN3 mutations on the endocytic pathway
Published in
Human Molecular Genetics, November 2013
DOI 10.1093/hmg/ddt596
Pubmed ID
Authors

Xenia Lojewski, John F. Staropoli, Sunita Biswas-Legrand, Alexandra M. Simas, Larissa Haliw, Martin K. Selig, Scott H. Coppel, Kendrick A. Goss, Anton Petcherski, Uma Chandrachud, Steven D. Sheridan, Diane Lucente, Katherine B. Sims, James F. Gusella, Dolan Sondhi, Ronald G. Crystal, Peter Reinhardt, Jared Sterneckert, Hans Schöler, Stephen J. Haggarty, Alexander Storch, Andreas Hermann, Susan L. Cotman

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 2 1%
Portugal 1 <1%
Belgium 1 <1%
Unknown 139 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 26%
Researcher 31 21%
Student > Bachelor 17 12%
Other 9 6%
Student > Master 9 6%
Other 21 14%
Unknown 20 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 30%
Biochemistry, Genetics and Molecular Biology 35 24%
Neuroscience 21 14%
Medicine and Dentistry 10 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 6 4%
Unknown 25 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 16 February 2023.
All research outputs
#5,393,063
of 25,837,817 outputs
Outputs from Human Molecular Genetics
#2,379
of 8,505 outputs
Outputs of similar age
#57,405
of 320,982 outputs
Outputs of similar age from Human Molecular Genetics
#28
of 111 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,505 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 71% 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 320,982 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 81% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.