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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
4 news outlets
twitter
90 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
75 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.

Twitter Demographics

The data shown below were collected from the profiles of 90 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 29%
Researcher 15 20%
Student > Master 10 13%
Student > Doctoral Student 6 8%
Student > Bachelor 5 7%
Other 8 11%
Unknown 9 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 23%
Physics and Astronomy 16 21%
Agricultural and Biological Sciences 10 13%
Neuroscience 6 8%
Engineering 6 8%
Other 6 8%
Unknown 14 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 88. 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 02 October 2020.
All research outputs
#313,101
of 18,825,294 outputs
Outputs from Nature Methods
#427
of 4,481 outputs
Outputs of similar age
#8,561
of 288,446 outputs
Outputs of similar age from Nature Methods
#17
of 100 outputs
Altmetric has tracked 18,825,294 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 4,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.7. This one has done particularly well, scoring higher than 90% 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 288,446 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 97% of its contemporaries.
We're also able to compare this research output to 100 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.