↓ Skip to main content

ASBMB

Online Parallel Accumulation–Serial Fragmentation (PASEF) with a Novel Trapped Ion Mobility Mass Spectrometer*

Overview of attention for article published in Molecular and Cellular Proteomics, November 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 3,238)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
42 X users
patent
2 patents

Citations

dimensions_citation
627 Dimensions

Readers on

mendeley
585 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Online Parallel Accumulation–Serial Fragmentation (PASEF) with a Novel Trapped Ion Mobility Mass Spectrometer*
Published in
Molecular and Cellular Proteomics, November 2018
DOI 10.1074/mcp.tir118.000900
Pubmed ID
Authors

Florian Meier, Andreas-David Brunner, Scarlet Koch, Heiner Koch, Markus Lubeck, Michael Krause, Niels Goedecke, Jens Decker, Thomas Kosinski, Melvin A. Park, Nicolai Bache, Ole Hoerning, Jürgen Cox, Oliver Räther, Matthias Mann

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 585 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 585 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 121 21%
Researcher 98 17%
Student > Master 67 11%
Student > Bachelor 43 7%
Other 18 3%
Other 57 10%
Unknown 181 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 166 28%
Chemistry 69 12%
Agricultural and Biological Sciences 55 9%
Medicine and Dentistry 16 3%
Pharmacology, Toxicology and Pharmaceutical Science 16 3%
Other 54 9%
Unknown 209 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 11 May 2023.
All research outputs
#565,391
of 25,707,225 outputs
Outputs from Molecular and Cellular Proteomics
#28
of 3,238 outputs
Outputs of similar age
#12,244
of 364,643 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#1
of 44 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,238 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 99% 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 364,643 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 96% of its contemporaries.
We're also able to compare this research output to 44 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 97% of its contemporaries.