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A Scoring Algorithm for the Automated Analysis of Glycosaminoglycan MS/MS Data

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, October 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
4 Mendeley
Title
A Scoring Algorithm for the Automated Analysis of Glycosaminoglycan MS/MS Data
Published in
Journal of the American Society for Mass Spectrometry, October 2019
DOI 10.1007/s13361-019-02338-9
Pubmed ID
Authors

Jiana Duan, Lauren Pepi, I. Jonathan Amster

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Researcher 1 25%
Other 1 25%
Readers by discipline Count As %
Chemistry 3 75%
Biochemistry, Genetics and Molecular Biology 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 November 2019.
All research outputs
#8,268,461
of 25,387,668 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#1,168
of 3,835 outputs
Outputs of similar age
#144,388
of 377,492 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#11
of 53 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 3,835 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 68% 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 377,492 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 61% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.