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A nonparametric Bayesian continual reassessment method in single-agent dose-finding studies

Overview of attention for article published in BMC Medical Research Methodology, December 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
6 Mendeley
Title
A nonparametric Bayesian continual reassessment method in single-agent dose-finding studies
Published in
BMC Medical Research Methodology, December 2018
DOI 10.1186/s12874-018-0604-9
Pubmed ID
Authors

Niansheng Tang, Songjian Wang, Gen Ye

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Researcher 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Mathematics 1 17%
Engineering 1 17%
Unknown 4 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 19 December 2018.
All research outputs
#5,837,083
of 23,120,280 outputs
Outputs from BMC Medical Research Methodology
#831
of 2,035 outputs
Outputs of similar age
#117,387
of 435,331 outputs
Outputs of similar age from BMC Medical Research Methodology
#43
of 74 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 55% 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 435,331 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 72% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.