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cosinoRmixedeffects: an R package for mixed-effects cosinor models

Overview of attention for article published in BMC Bioinformatics, November 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
21 Mendeley
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Title
cosinoRmixedeffects: an R package for mixed-effects cosinor models
Published in
BMC Bioinformatics, November 2021
DOI 10.1186/s12859-021-04463-3
Pubmed ID
Authors

Ruixue Hou, Lewis E. Tomalin, Mayte Suárez-Fariñas

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Student > Ph. D. Student 3 14%
Student > Master 2 10%
Student > Doctoral Student 2 10%
Unspecified 1 5%
Other 2 10%
Unknown 6 29%
Readers by discipline Count As %
Medicine and Dentistry 4 19%
Agricultural and Biological Sciences 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Philosophy 1 5%
Environmental Science 1 5%
Other 5 24%
Unknown 6 29%
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 30 November 2021.
All research outputs
#8,304,258
of 24,998,746 outputs
Outputs from BMC Bioinformatics
#3,147
of 7,630 outputs
Outputs of similar age
#155,335
of 427,434 outputs
Outputs of similar age from BMC Bioinformatics
#75
of 160 outputs
Altmetric has tracked 24,998,746 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 7,630 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 gotten more attention than average, scoring higher than 58% 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 427,434 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 63% of its contemporaries.
We're also able to compare this research output to 160 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 53% of its contemporaries.