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A simple protocol for the subcellular fractionation of skeletal muscle cells and tissue

Overview of attention for article published in BMC Research Notes, September 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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1 X user
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1 patent

Citations

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250 Dimensions

Readers on

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493 Mendeley
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Title
A simple protocol for the subcellular fractionation of skeletal muscle cells and tissue
Published in
BMC Research Notes, September 2012
DOI 10.1186/1756-0500-5-513
Pubmed ID
Authors

Ivan Dimauro, Timothy Pearson, Daniela Caporossi, Malcolm J Jackson

Abstract

We describe a method for subcellular fractionation of mouse skeletal muscle, myoblast and myotubes to obtain relatively pure fractions of nuclear, cytosolic and mitochondrial compartments. Fractionation allows the analysis of a protein of interest (or other cellular component) based on its subcellular compartmental distribution and can also generate molecular information about the state of a cell and/or tissue and how the distribution of a protein may differ between different cellular compartments, tissues or cell types, in response to treatments or ageing.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 493 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
United Kingdom 2 <1%
Malaysia 1 <1%
Chile 1 <1%
Ireland 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
Portugal 1 <1%
India 1 <1%
Other 6 1%
Unknown 475 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 118 24%
Student > Master 81 16%
Researcher 78 16%
Student > Bachelor 56 11%
Student > Doctoral Student 35 7%
Other 60 12%
Unknown 65 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 157 32%
Agricultural and Biological Sciences 152 31%
Medicine and Dentistry 30 6%
Neuroscience 12 2%
Pharmacology, Toxicology and Pharmaceutical Science 11 2%
Other 47 10%
Unknown 84 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 March 2023.
All research outputs
#7,566,585
of 24,343,193 outputs
Outputs from BMC Research Notes
#1,177
of 4,378 outputs
Outputs of similar age
#52,501
of 173,373 outputs
Outputs of similar age from BMC Research Notes
#30
of 98 outputs
Altmetric has tracked 24,343,193 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. 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 173,373 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 68% of its contemporaries.
We're also able to compare this research output to 98 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 68% of its contemporaries.