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Peroxisomes

Overview of attention for book
Attention for Chapter: Direct Stochastic Optical Reconstruction Microscopy (dSTORM) of Peroxisomes.
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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7 Mendeley
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Chapter title
Direct Stochastic Optical Reconstruction Microscopy (dSTORM) of Peroxisomes.
Book title
Peroxisomes
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-3048-8_6
Pubmed ID
Book ISBNs
978-1-07-163047-1, 978-1-07-163048-8
Authors

Klein, Teresa, Sauer, Markus, Ergün, Süleyman, Karnati, Srikanth

Abstract

Peroxisomes are central metabolic organelles whose maturation and function depend on efficient and accurate targeting of peroxisomal membrane proteins (PMPs). Ultrastructural imaging of the PMPs is a quite difficult task as it requires high spatial and temporal resolution. Further, the spatial resolution of conventional light microscopy is limited due to the diffraction of light. However, recent methodological developments in super resolution microscopy showed us to access the nanoscale regimes spatially allowing to elucidate the membrane structures of cell organelles. In this chapter, we present protocols used in our laboratory for the super-resolution imaging of the peroxisomal membrane protein 14 (PEX14p) by direct stochastic optical reconstruction microscopy (dSTORM).

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Bachelor 1 14%
Researcher 1 14%
Student > Master 1 14%
Unknown 2 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Agricultural and Biological Sciences 1 14%
Chemistry 1 14%
Neuroscience 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 March 2023.
All research outputs
#15,283,680
of 25,550,333 outputs
Outputs from Methods in molecular biology
#4,194
of 14,290 outputs
Outputs of similar age
#205,590
of 477,451 outputs
Outputs of similar age from Methods in molecular biology
#128
of 715 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,290 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 68% 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 477,451 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 715 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.