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High-resolution three-dimensional imaging of large specimens with light sheet–based microscopy

Overview of attention for article published in Nature Methods, March 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
patent
11 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
307 Dimensions

Readers on

mendeley
449 Mendeley
citeulike
1 CiteULike
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Title
High-resolution three-dimensional imaging of large specimens with light sheet–based microscopy
Published in
Nature Methods, March 2007
DOI 10.1038/nmeth1017
Pubmed ID
Authors

Peter J Verveer, Jim Swoger, Francesco Pampaloni, Klaus Greger, Marco Marcello, Ernst H K Stelzer

Abstract

We report that single (or selective) plane illumination microscopy (SPIM), combined with a new deconvolution algorithm, provides a three-dimensional spatial resolution exceeding that of confocal fluorescence microscopy in large samples. We demonstrate this by imaging large living multicellular specimens obtained in a three-dimensional cell culture. The ability to rapidly image large samples at high resolution with minimal photodamage provides new opportunities especially for the study of subcellular processes in large living specimens.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 449 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
United Kingdom 7 2%
Germany 6 1%
Switzerland 3 <1%
Japan 3 <1%
France 2 <1%
Australia 1 <1%
Portugal 1 <1%
Finland 1 <1%
Other 10 2%
Unknown 407 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 131 29%
Researcher 99 22%
Student > Master 54 12%
Student > Bachelor 32 7%
Professor > Associate Professor 22 5%
Other 62 14%
Unknown 49 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 127 28%
Physics and Astronomy 90 20%
Engineering 64 14%
Biochemistry, Genetics and Molecular Biology 38 8%
Neuroscience 17 4%
Other 54 12%
Unknown 59 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 10 May 2022.
All research outputs
#1,897,849
of 24,226,848 outputs
Outputs from Nature Methods
#2,069
of 5,149 outputs
Outputs of similar age
#4,153
of 78,788 outputs
Outputs of similar age from Nature Methods
#8
of 36 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,149 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.7. This one has gotten more attention than average, scoring higher than 59% 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 78,788 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 94% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.