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Bayesian statistical learning for big data biology

Overview of attention for article published in Biophysical Reviews, February 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 382)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
26 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
32 Mendeley
Title
Bayesian statistical learning for big data biology
Published in
Biophysical Reviews, February 2019
DOI 10.1007/s12551-019-00499-1
Pubmed ID
Authors

Christopher Yau, Kieran Campbell

Twitter Demographics

The data shown below were collected from the profiles of 26 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Student > Bachelor 6 19%
Student > Master 5 16%
Researcher 3 9%
Other 2 6%
Other 3 9%
Unknown 5 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 25%
Computer Science 6 19%
Biochemistry, Genetics and Molecular Biology 5 16%
Chemical Engineering 2 6%
Chemistry 2 6%
Other 3 9%
Unknown 6 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 13 October 2019.
All research outputs
#1,190,207
of 13,974,181 outputs
Outputs from Biophysical Reviews
#8
of 382 outputs
Outputs of similar age
#42,724
of 318,543 outputs
Outputs of similar age from Biophysical Reviews
#1
of 16 outputs
Altmetric has tracked 13,974,181 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 382 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 97% 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 318,543 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 86% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.