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Structural and molecular interrogation of intact biological systems

Overview of attention for article published in Nature, April 2013
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Citations

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1478 Dimensions

Readers on

mendeley
4602 Mendeley
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15 CiteULike
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Title
Structural and molecular interrogation of intact biological systems
Published in
Nature, April 2013
DOI 10.1038/nature12107
Pubmed ID
Authors

Kwanghun Chung, Jenelle Wallace, Sung-Yon Kim, Sandhiya Kalyanasundaram, Aaron S. Andalman, Thomas J. Davidson, Julie J. Mirzabekov, Kelly A. Zalocusky, Joanna Mattis, Aleksandra K. Denisin, Sally Pak, Hannah Bernstein, Charu Ramakrishnan, Logan Grosenick, Viviana Gradinaru, Karl Deisseroth

Abstract

Obtaining high-resolution information from a complex system, while maintaining the global perspective needed to understand system function, represents a key challenge in biology. Here we address this challenge with a method (termed CLARITY) for the transformation of intact tissue into a nanoporous hydrogel-hybridized form (crosslinked to a three-dimensional network of hydrophilic polymers) that is fully assembled but optically transparent and macromolecule-permeable. Using mouse brains, we show intact-tissue imaging of long-range projections, local circuit wiring, cellular relationships, subcellular structures, protein complexes, nucleic acids and neurotransmitters. CLARITY also enables intact-tissue in situ hybridization, immunohistochemistry with multiple rounds of staining and de-staining in non-sectioned tissue, and antibody labelling throughout the intact adult mouse brain. Finally, we show that CLARITY enables fine structural analysis of clinical samples, including non-sectioned human tissue from a neuropsychiatric-disease setting, establishing a path for the transmutation of human tissue into a stable, intact and accessible form suitable for probing structural and molecular underpinnings of physiological function and disease.

Twitter Demographics

The data shown below were collected from the profiles of 304 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4,602 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 133 3%
United Kingdom 45 <1%
Germany 30 <1%
Japan 28 <1%
Canada 17 <1%
France 16 <1%
Netherlands 15 <1%
Spain 15 <1%
Switzerland 8 <1%
Other 88 2%
Unknown 4207 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1255 27%
Researcher 1023 22%
Student > Master 471 10%
Student > Bachelor 400 9%
Professor > Associate Professor 242 5%
Other 823 18%
Unknown 388 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 1656 36%
Neuroscience 690 15%
Biochemistry, Genetics and Molecular Biology 383 8%
Medicine and Dentistry 380 8%
Engineering 329 7%
Other 664 14%
Unknown 500 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 827. 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 26 July 2022.
All research outputs
#16,550
of 21,750,593 outputs
Outputs from Nature
#1,848
of 88,674 outputs
Outputs of similar age
#70
of 175,948 outputs
Outputs of similar age from Nature
#11
of 986 outputs
Altmetric has tracked 21,750,593 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 88,674 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 98.1. This one has done particularly well, scoring higher than 97% 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 175,948 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 99% of its contemporaries.
We're also able to compare this research output to 986 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 98% of its contemporaries.