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A Workflow for Protein Structure Determination From Thin Crystal Lamella by Micro-Electron Diffraction

Overview of attention for article published in Frontiers in Molecular Biosciences, August 2020
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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 (69th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
10 X users
facebook
1 Facebook page

Citations

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25 Dimensions

Readers on

mendeley
37 Mendeley
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Title
A Workflow for Protein Structure Determination From Thin Crystal Lamella by Micro-Electron Diffraction
Published in
Frontiers in Molecular Biosciences, August 2020
DOI 10.3389/fmolb.2020.00179
Pubmed ID
Authors

Emma V. Beale, David G. Waterman, Corey Hecksel, Jason van Rooyen, James B. Gilchrist, James M. Parkhurst, Felix de Haas, Bart Buijsse, Gwyndaf Evans, Peijun Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 35%
Student > Ph. D. Student 9 24%
Professor > Associate Professor 2 5%
Student > Bachelor 1 3%
Student > Doctoral Student 1 3%
Other 2 5%
Unknown 9 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 24%
Agricultural and Biological Sciences 7 19%
Chemistry 3 8%
Physics and Astronomy 2 5%
Linguistics 1 3%
Other 4 11%
Unknown 11 30%
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 17 July 2024.
All research outputs
#6,583,961
of 26,583,927 outputs
Outputs from Frontiers in Molecular Biosciences
#600
of 4,861 outputs
Outputs of similar age
#131,708
of 431,413 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#20
of 122 outputs
Altmetric has tracked 26,583,927 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,861 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 87% 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 431,413 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 69% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.