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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 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
10 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
Authors

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

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Ph. D. Student 2 20%
Student > Bachelor 1 10%
Unknown 4 40%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 30%
Arts and Humanities 1 10%
Computer Science 1 10%
Earth and Planetary Sciences 1 10%
Chemistry 1 10%
Other 0 0%
Unknown 3 30%

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
#14,477,652
of 21,546,315 outputs
Outputs from BMC Bioinformatics
#5,132
of 6,974 outputs
Outputs of similar age
#272,021
of 468,681 outputs
Outputs of similar age from BMC Bioinformatics
#500
of 535 outputs
Altmetric has tracked 21,546,315 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 6,974 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 468,681 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 535 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.