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Protein identification: The origins of peptide mass fingerprinting

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, September 2003
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

patent
3 patents
wikipedia
3 Wikipedia pages

Citations

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211 Dimensions

Readers on

mendeley
347 Mendeley
citeulike
1 CiteULike
Title
Protein identification: The origins of peptide mass fingerprinting
Published in
Journal of the American Society for Mass Spectrometry, September 2003
DOI 10.1016/s1044-0305(03)00214-9
Pubmed ID
Authors

William J. Henzel, Colin Watanabe, John T. Stults

Abstract

Peptide mass fingerprinting (PMF) grew from a need for a faster, more efficient method to identify frequently observed proteins in electrophoresis gels. We describe the genesis of the idea in 1989, and show the first demonstration with fast atom bombardment mass spectrometry. Despite its promise, the method was seldom used until 1992, with the coming of significantly more sensitive commercial instrumentation based on MALDI-TOF-MS. We recount the evolution of the method and its dependence on a number of technical breakthroughs, both in mass spectrometry and in other areas. We show how it laid the foundation for high-throughput, high-sensitivity methods of protein analysis, now known as proteomics. We conclude with recommendations for further improvements, and speculation of the role of PMF in the future.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 347 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 1%
Germany 3 <1%
United States 3 <1%
France 2 <1%
Brazil 2 <1%
Belgium 2 <1%
Mexico 1 <1%
Netherlands 1 <1%
China 1 <1%
Other 1 <1%
Unknown 327 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 23%
Researcher 55 16%
Student > Master 54 16%
Student > Bachelor 39 11%
Student > Doctoral Student 20 6%
Other 55 16%
Unknown 43 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 125 36%
Biochemistry, Genetics and Molecular Biology 61 18%
Chemistry 60 17%
Medicine and Dentistry 10 3%
Computer Science 10 3%
Other 34 10%
Unknown 47 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 09 March 2022.
All research outputs
#3,798,287
of 25,371,288 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#253
of 3,833 outputs
Outputs of similar age
#5,592
of 53,937 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#1
of 13 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,833 research outputs from this source. They receive a mean Attention Score of 3.8. 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 53,937 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 13 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.