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Protocols for Subtomogram Averaging of Membrane Proteins in the Dynamo Software Package

Overview of attention for article published in Frontiers in Molecular Biosciences, September 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
Protocols for Subtomogram Averaging of Membrane Proteins in the Dynamo Software Package
Published in
Frontiers in Molecular Biosciences, September 2018
DOI 10.3389/fmolb.2018.00082
Pubmed ID
Authors

Paula P. Navarro, Henning Stahlberg, Daniel Castaño-Díez

Abstract

Cryo-electron tomography allows low-resolution three-dimensional (3D) viewing of cellular organelles and macromolecular complexes present as multiple copies within a tomogram. These structures are computationally extracted and averaged in order to obtain high-resolution 3D structures, and provide a map of their spatial distribution and interaction with their biological microenvironment. To do so, we apply the user-friendly Dynamo software package on a tomographic data set. Dynamo acts as a modular toolbox adaptable to different biological scenarios, allowing a custom designed pipeline for subtomogram averaging. Here, we use as a textbook example the mitochondrial docking site of the positive-strand RNA Flock house nodavirus (FHV) to describe how Dynamo coordinates several basic steps in the subtomogram averaging workflow. Our framework covers specific strategies to deal with additional issues in subtomogram averaging as tomographic data management, 3D surface visualization, automatic assignment of asymmetry and inherent loss of Fourier information in presence of preferential views.

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X Demographics

The data shown below were collected from the profiles of 9 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 21%
Researcher 15 20%
Student > Master 10 13%
Student > Bachelor 5 7%
Student > Doctoral Student 3 4%
Other 4 5%
Unknown 23 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 22%
Agricultural and Biological Sciences 15 20%
Immunology and Microbiology 3 4%
Neuroscience 3 4%
Chemistry 3 4%
Other 10 13%
Unknown 25 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 15 September 2018.
All research outputs
#5,526,844
of 23,102,082 outputs
Outputs from Frontiers in Molecular Biosciences
#445
of 3,913 outputs
Outputs of similar age
#95,222
of 335,392 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#8
of 19 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,913 research outputs from this source. They receive a mean Attention Score of 3.3. 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 335,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.