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Native Mass Spectrometry: What is in the Name?

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 3,836)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
8 X users
patent
4 patents
wikipedia
1 Wikipedia page

Citations

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446 Dimensions

Readers on

mendeley
683 Mendeley
Title
Native Mass Spectrometry: What is in the Name?
Published in
Journal of the American Society for Mass Spectrometry, December 2016
DOI 10.1007/s13361-016-1545-3
Pubmed ID
Authors

Aneika C. Leney, Albert J. R. Heck

Abstract

Electrospray ionization mass spectrometry (ESI-MS) is nowadays one of the cornerstones of biomolecular mass spectrometry and proteomics. Advances in sample preparation and mass analyzers have enabled researchers to extract much more information from biological samples than just the molecular weight. In particular, relevant for structural biology, noncovalent protein-protein and protein-ligand complexes can now also be analyzed by MS. For these types of analyses, assemblies need to be retained in their native quaternary state in the gas phase. This initial small niche of biomolecular mass spectrometry, nowadays often referred to as "native MS," has come to maturation over the last two decades, with dozens of laboratories using it to study mostly protein assemblies, but also DNA and RNA-protein assemblies, with the goal to define structure-function relationships. In this perspective, we describe the origins of and (re)define the term native MS, portraying in detail what we meant by "native MS," when the term was coined and also describing what it does (according to us) not entail. Additionally, we describe a few examples highlighting what native MS is, showing its successes to date while illustrating the wide scope this technology has in solving complex biological questions. Graphical Abstract ᅟ.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 683 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%
Unknown 680 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 189 28%
Student > Master 99 14%
Researcher 85 12%
Student > Bachelor 78 11%
Student > Doctoral Student 39 6%
Other 57 8%
Unknown 136 20%
Readers by discipline Count As %
Chemistry 218 32%
Biochemistry, Genetics and Molecular Biology 186 27%
Agricultural and Biological Sciences 62 9%
Pharmacology, Toxicology and Pharmaceutical Science 18 3%
Physics and Astronomy 11 2%
Other 33 5%
Unknown 155 23%
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 30 January 2024.
All research outputs
#1,759,209
of 25,394,764 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#44
of 3,836 outputs
Outputs of similar age
#34,148
of 416,622 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#3
of 60 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,836 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 98% 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 416,622 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 60 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.