↓ Skip to main content

Bayesian Additive Adaptive Basis Tensor Product Models for Modeling High Dimensional Surfaces: An Application to High-Throughput Toxicity Testing

Overview of attention for article published in Biometrics, August 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
20 Mendeley
Title
Bayesian Additive Adaptive Basis Tensor Product Models for Modeling High Dimensional Surfaces: An Application to High-Throughput Toxicity Testing
Published in
Biometrics, August 2018
DOI 10.1111/biom.12942
Pubmed ID
Authors

Matthew W. Wheeler

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 %
Researcher 7 35%
Student > Ph. D. Student 4 20%
Student > Master 3 15%
Unspecified 1 5%
Professor 1 5%
Other 1 5%
Unknown 3 15%
Readers by discipline Count As %
Mathematics 7 35%
Social Sciences 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Unspecified 1 5%
Agricultural and Biological Sciences 1 5%
Other 3 15%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 October 2021.
All research outputs
#7,575,113
of 23,100,534 outputs
Outputs from Biometrics
#452
of 1,847 outputs
Outputs of similar age
#129,969
of 330,721 outputs
Outputs of similar age from Biometrics
#7
of 15 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,847 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 44th percentile – i.e., 44% 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 330,721 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 54% of its contemporaries.
We're also able to compare this research output to 15 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.