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High-fidelity mass analysis unveils heterogeneity in intact ribosomal particles

Overview of attention for article published in Nature Methods, January 2017
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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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

blogs
1 blog
twitter
14 X users
patent
4 patents

Citations

dimensions_citation
149 Dimensions

Readers on

mendeley
223 Mendeley
citeulike
1 CiteULike
Title
High-fidelity mass analysis unveils heterogeneity in intact ribosomal particles
Published in
Nature Methods, January 2017
DOI 10.1038/nmeth.4147
Pubmed ID
Authors

Michiel van de Waterbeemd, Kyle L Fort, Dmitriy Boll, Maria Reinhardt-Szyba, Andrew Routh, Alexander Makarov, Albert J R Heck

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Germany 1 <1%
Austria 1 <1%
Unknown 219 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 24%
Researcher 48 22%
Student > Master 19 9%
Student > Bachelor 16 7%
Student > Doctoral Student 13 6%
Other 27 12%
Unknown 46 21%
Readers by discipline Count As %
Chemistry 59 26%
Biochemistry, Genetics and Molecular Biology 59 26%
Agricultural and Biological Sciences 29 13%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Immunology and Microbiology 3 1%
Other 15 7%
Unknown 53 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 12 December 2023.
All research outputs
#1,811,585
of 25,839,971 outputs
Outputs from Nature Methods
#2,061
of 5,422 outputs
Outputs of similar age
#36,453
of 425,231 outputs
Outputs of similar age from Nature Methods
#45
of 93 outputs
Altmetric has tracked 25,839,971 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 5,422 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.6. This one has gotten more attention than average, scoring higher than 61% 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 425,231 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 91% of its contemporaries.
We're also able to compare this research output to 93 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 51% of its contemporaries.