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Fast Quantitative Analysis of timsTOF PASEF Data with MSFragger and IonQuant

Overview of attention for article published in Molecular and Cellular Proteomics, July 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
45 X users
patent
1 patent

Citations

dimensions_citation
154 Dimensions

Readers on

mendeley
203 Mendeley
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Title
Fast Quantitative Analysis of timsTOF PASEF Data with MSFragger and IonQuant
Published in
Molecular and Cellular Proteomics, July 2020
DOI 10.1074/mcp.tir120.002048
Pubmed ID
Authors

Fengchao Yu, Sarah E. Haynes, Guo Ci Teo, Dmitry M. Avtonomov, Daniel A. Polasky, Alexey I. Nesvizhskii

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 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 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 203 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 20%
Student > Ph. D. Student 37 18%
Student > Master 20 10%
Student > Bachelor 11 5%
Professor 8 4%
Other 19 9%
Unknown 67 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 61 30%
Agricultural and Biological Sciences 24 12%
Chemistry 15 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Computer Science 5 2%
Other 19 9%
Unknown 72 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 September 2022.
All research outputs
#984,202
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#69
of 3,223 outputs
Outputs of similar age
#29,237
of 432,492 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#3
of 37 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,223 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 97% 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 432,492 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 93% of its contemporaries.
We're also able to compare this research output to 37 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 91% of its contemporaries.