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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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919 Dimensions

Readers on

mendeley
3898 Mendeley
citeulike
15 CiteULike
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 324 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 3,898 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 146 4%
United Kingdom 45 1%
Germany 39 1%
Japan 29 <1%
Canada 19 <1%
France 17 <1%
Spain 15 <1%
Netherlands 15 <1%
Switzerland 8 <1%
Other 95 2%
Unknown 3470 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1150 30%
Researcher 916 23%
Student > Master 421 11%
Student > Bachelor 342 9%
Professor > Associate Professor 216 6%
Other 852 22%
Unknown 1 <1%
Readers by discipline Count As %
Agricultural and Biological Sciences 1644 42%
Neuroscience 549 14%
Medicine and Dentistry 354 9%
Engineering 272 7%
Unspecified 267 7%
Other 811 21%
Unknown 1 <1%

Attention Score in Context

This research output has an Altmetric Attention Score of 824. 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 11 September 2018.
All research outputs
#5,845
of 13,377,419 outputs
Outputs from Nature
#930
of 69,393 outputs
Outputs of similar age
#50
of 148,073 outputs
Outputs of similar age from Nature
#10
of 993 outputs
Altmetric has tracked 13,377,419 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 69,393 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 75.7. 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 148,073 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 993 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.