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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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1229 Dimensions

Readers on

mendeley
4381 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 319 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 4,381 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 140 3%
United Kingdom 45 1%
Germany 35 <1%
Japan 28 <1%
Canada 18 <1%
France 17 <1%
Spain 16 <1%
Netherlands 15 <1%
Switzerland 8 <1%
Other 89 2%
Unknown 3970 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1235 28%
Researcher 994 23%
Student > Master 461 11%
Student > Bachelor 386 9%
Professor > Associate Professor 238 5%
Other 781 18%
Unknown 286 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 1667 38%
Neuroscience 653 15%
Medicine and Dentistry 373 9%
Biochemistry, Genetics and Molecular Biology 356 8%
Engineering 314 7%
Other 621 14%
Unknown 397 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 816. 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 17 February 2021.
All research outputs
#11,444
of 17,392,251 outputs
Outputs from Nature
#1,429
of 79,710 outputs
Outputs of similar age
#66
of 162,081 outputs
Outputs of similar age from Nature
#10
of 990 outputs
Altmetric has tracked 17,392,251 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 79,710 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 89.4. 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 162,081 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 990 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.