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BayesMetab: treatment of missing values in metabolomic studies using a Bayesian modeling approach

Overview of attention for article published in BMC Bioinformatics, December 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
31 Mendeley
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Title
BayesMetab: treatment of missing values in metabolomic studies using a Bayesian modeling approach
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3250-2
Pubmed ID
Authors

Jasmit Shah, Guy N. Brock, Jeremy Gaskins

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 29%
Researcher 8 26%
Student > Bachelor 3 10%
Student > Master 1 3%
Other 1 3%
Other 0 0%
Unknown 9 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 19%
Biochemistry, Genetics and Molecular Biology 3 10%
Mathematics 2 6%
Medicine and Dentistry 2 6%
Environmental Science 1 3%
Other 4 13%
Unknown 13 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 December 2019.
All research outputs
#14,577,919
of 24,458,924 outputs
Outputs from BMC Bioinformatics
#4,347
of 7,535 outputs
Outputs of similar age
#234,320
of 467,981 outputs
Outputs of similar age from BMC Bioinformatics
#104
of 217 outputs
Altmetric has tracked 24,458,924 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,535 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 38th percentile – i.e., 38% 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 467,981 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.