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Probabilistic quotient’s work and pharmacokinetics’ contribution: countering size effect in metabolic time series measurements

Overview of attention for article published in BMC Bioinformatics, September 2022
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
15 X users

Readers on

mendeley
6 Mendeley
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Title
Probabilistic quotient’s work and pharmacokinetics’ contribution: countering size effect in metabolic time series measurements
Published in
BMC Bioinformatics, September 2022
DOI 10.1186/s12859-022-04918-1
Pubmed ID
Authors

Mathias Gotsmy, Julia Brunmair, Christoph Büschl, Christopher Gerner, Jürgen Zanghellini

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Lecturer 2 33%
Student > Master 1 17%
Readers by discipline Count As %
Chemistry 4 67%
Decision Sciences 1 17%
Design 1 17%
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 25 September 2022.
All research outputs
#4,235,598
of 25,748,735 outputs
Outputs from BMC Bioinformatics
#1,385
of 7,741 outputs
Outputs of similar age
#79,108
of 422,184 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 142 outputs
Altmetric has tracked 25,748,735 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 7,741 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 82% 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 422,184 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 81% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.