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Multicolor single-particle reconstruction of protein complexes

Overview of attention for article published in Nature Methods, October 2018
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
85 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
111 Mendeley
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Title
Multicolor single-particle reconstruction of protein complexes
Published in
Nature Methods, October 2018
DOI 10.1038/s41592-018-0140-x
Pubmed ID
Authors

Christian Sieben, Niccolò Banterle, Kyle M. Douglass, Pierre Gönczy, Suliana Manley

Abstract

Single-particle reconstruction (SPR) from electron microscopy (EM) images is widely used in structural biology, but it lacks direct information on protein identity. To address this limitation, we developed a computational and analytical framework that reconstructs and coaligns multiple proteins from 2D super-resolution fluorescence images. To demonstrate our method, we generated multicolor 3D reconstructions of several proteins within the human centriole, which revealed their relative locations, dimensions and orientations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 85 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 22%
Researcher 23 21%
Student > Master 11 10%
Student > Doctoral Student 7 6%
Student > Bachelor 6 5%
Other 17 15%
Unknown 23 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 21%
Physics and Astronomy 17 15%
Agricultural and Biological Sciences 13 12%
Engineering 10 9%
Neuroscience 8 7%
Other 12 11%
Unknown 28 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 86. 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 July 2023.
All research outputs
#501,199
of 25,564,614 outputs
Outputs from Nature Methods
#634
of 5,387 outputs
Outputs of similar age
#10,839
of 355,175 outputs
Outputs of similar age from Nature Methods
#16
of 95 outputs
Altmetric has tracked 25,564,614 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,387 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.5. This one has done well, scoring higher than 88% 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 355,175 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 96% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.