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Application of feature-based molecular networking and MassQL for the MS/MS fragmentation study of depsipeptides

Overview of attention for article published in Frontiers in Molecular Biosciences, August 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
11 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Application of feature-based molecular networking and MassQL for the MS/MS fragmentation study of depsipeptides
Published in
Frontiers in Molecular Biosciences, August 2023
DOI 10.3389/fmolb.2023.1238475
Pubmed ID
Authors

Denise M. Selegato, Ana C. Zanatta, Alan C. Pilon, Juvenal H. Veloso, Ian Castro-Gamboa

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Student > Doctoral Student 2 13%
Student > Postgraduate 2 13%
Student > Master 1 7%
Researcher 1 7%
Other 0 0%
Unknown 6 40%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 2 13%
Biochemistry, Genetics and Molecular Biology 2 13%
Chemistry 2 13%
Agricultural and Biological Sciences 2 13%
Mathematics 1 7%
Other 0 0%
Unknown 6 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 13 August 2023.
All research outputs
#5,593,022
of 26,455,955 outputs
Outputs from Frontiers in Molecular Biosciences
#554
of 4,850 outputs
Outputs of similar age
#92,273
of 369,107 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#18
of 154 outputs
Altmetric has tracked 26,455,955 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,850 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 88% 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 369,107 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.