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Iterative expansion microscopy

Overview of attention for article published in Nature Methods, April 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Citations

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Title
Iterative expansion microscopy
Published in
Nature Methods, April 2017
DOI 10.1038/nmeth.4261
Pubmed ID
Authors

Jae-Byum Chang, Fei Chen, Young-Gyu Yoon, Erica E Jung, Hazen Babcock, Jeong Seuk Kang, Shoh Asano, Ho-Jun Suk, Nikita Pak, Paul W Tillberg, Asmamaw T Wassie, Dawen Cai, Edward S Boyden

Abstract

We recently developed a method called expansion microscopy, in which preserved biological specimens are physically magnified by embedding them in a densely crosslinked polyelectrolyte gel, anchoring key labels or biomolecules to the gel, mechanically homogenizing the specimen, and then swelling the gel-specimen composite by ∼4.5××Iterative expansion microscopyJae-Byum Chang1,2, Fei Chen3, Young-Gyu Yoon1,4, Erica E Jung1, Hazen Babcock5, Jeong Seuk Kang6, Shoh Asano1, Ho-Jun Suk7, Nikita Pak8, Paul W Tillberg4, Asmamaw T Wassie3, Dawen Cai9 &Edward S Boyden1,3,10,11We recently developed a method called expansion microscopy, in which preserved biological specimens are physically magnified by embedding them in a densely crosslinked polyelectrolyte gel, anchoring key labels or biomolecules to the gel, mechanically homogenizing the specimen, and then swelling the gel-specimen composite by ~4.5× in linear dimension. Here we describe iterative expansion microscopy (iExM), in which a sample is expanded ∼20×. After preliminary expansion a second swellable polymer mesh is formed in the space newly opened up by the first expansion, and the sample is expanded again. iExM expands biological specimens ∼4.5 × 4.5, or ∼20×, and enables ∼25-nm-resolution imaging of cells and tissues on conventional microscopes. We used iExM to visualize synaptic proteins, as well as the detailed architecture of dendritic spines, in mouse brain circuitry.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 604 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Sweden 2 <1%
Japan 2 <1%
United Kingdom 1 <1%
Germany 1 <1%
Spain 1 <1%
France 1 <1%
Portugal 1 <1%
Unknown 591 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 149 25%
Researcher 131 22%
Student > Bachelor 61 10%
Student > Master 60 10%
Student > Doctoral Student 37 6%
Other 99 16%
Unknown 67 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 134 22%
Biochemistry, Genetics and Molecular Biology 112 19%
Neuroscience 88 15%
Chemistry 49 8%
Engineering 46 8%
Other 92 15%
Unknown 83 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 221. 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 06 November 2020.
All research outputs
#84,472
of 16,300,254 outputs
Outputs from Nature Methods
#52
of 4,197 outputs
Outputs of similar age
#2,929
of 270,809 outputs
Outputs of similar age from Nature Methods
#3
of 89 outputs
Altmetric has tracked 16,300,254 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,197 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.9. This one has done particularly well, scoring higher than 98% 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 270,809 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 98% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.