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Exploring dynamic metabolomics data with multiway data analysis: a simulation study

Overview of attention for article published in BMC Bioinformatics, January 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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9 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Exploring dynamic metabolomics data with multiway data analysis: a simulation study
Published in
BMC Bioinformatics, January 2022
DOI 10.1186/s12859-021-04550-5
Pubmed ID
Authors

Lu Li, Huub Hoefsloot, Albert A. de Graaf, Evrim Acar, Age K. Smilde

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Researcher 4 20%
Student > Bachelor 1 5%
Student > Master 1 5%
Lecturer 1 5%
Other 0 0%
Unknown 9 45%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 20%
Biochemistry, Genetics and Molecular Biology 3 15%
Chemistry 2 10%
Arts and Humanities 1 5%
Earth and Planetary Sciences 1 5%
Other 1 5%
Unknown 8 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 January 2022.
All research outputs
#15,365,885
of 22,858,915 outputs
Outputs from BMC Bioinformatics
#5,380
of 7,293 outputs
Outputs of similar age
#279,556
of 502,001 outputs
Outputs of similar age from BMC Bioinformatics
#113
of 139 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 502,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.