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Retrieving the intracellular topology from multi-scale protein mobility mapping in living cells

Overview of attention for article published in Nature Communications, July 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
6 news outlets
twitter
15 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
143 Dimensions

Readers on

mendeley
162 Mendeley
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Title
Retrieving the intracellular topology from multi-scale protein mobility mapping in living cells
Published in
Nature Communications, July 2014
DOI 10.1038/ncomms5494
Pubmed ID
Authors

Michael Baum, Fabian Erdel, Malte Wachsmuth, Karsten Rippe

Abstract

In living cells, most proteins diffuse over distances of micrometres within seconds. Protein translocation is constrained due to the cellular organization into subcompartments that impose diffusion barriers and guide enzymatic activities to their targets. Here, we introduce an approach to retrieve structural features from the scale-dependent mobility of green fluorescent protein monomer and multimers in human cells. We measure protein transport simultaneously between hundreds of positions by multi-scale fluorescence cross-correlation spectroscopy using a line-illuminating confocal microscope. From these data we derive a quantitative model of the intracellular architecture that resembles a random obstacle network for diffusing proteins. This topology partitions the cellular content and increases the dwell time of proteins in their local environment. The accessibility of obstacle surfaces depends on protein size. Our method links multi-scale mobility measurements with a quantitative description of intracellular structure that can be applied to evaluate how drug-induced perturbations affect protein transport and interactions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 2 1%
France 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Israel 1 <1%
Unknown 152 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 28%
Researcher 28 17%
Student > Master 16 10%
Student > Bachelor 10 6%
Professor > Associate Professor 10 6%
Other 24 15%
Unknown 28 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 31%
Biochemistry, Genetics and Molecular Biology 34 21%
Physics and Astronomy 18 11%
Chemistry 14 9%
Engineering 5 3%
Other 10 6%
Unknown 31 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 20 January 2021.
All research outputs
#722,332
of 24,647,023 outputs
Outputs from Nature Communications
#12,285
of 53,319 outputs
Outputs of similar age
#6,987
of 233,807 outputs
Outputs of similar age from Nature Communications
#123
of 652 outputs
Altmetric has tracked 24,647,023 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 53,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.0. This one has done well, scoring higher than 76% 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 233,807 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 652 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.