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A Bayesian non-inferiority approach using experts’ margin elicitation – application to the monitoring of safety events

Overview of attention for article published in BMC Medical Research Methodology, September 2019
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Mentioned by

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2 X users

Citations

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4 Dimensions

Readers on

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21 Mendeley
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Title
A Bayesian non-inferiority approach using experts’ margin elicitation – application to the monitoring of safety events
Published in
BMC Medical Research Methodology, September 2019
DOI 10.1186/s12874-019-0826-5
Pubmed ID
Authors

Camille Aupiais, Corinne Alberti, Thomas Schmitz, Olivier Baud, Moreno Ursino, Sarah Zohar

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 %
Student > Bachelor 7 33%
Student > Postgraduate 4 19%
Lecturer > Senior Lecturer 1 5%
Student > Ph. D. Student 1 5%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 5 24%
Readers by discipline Count As %
Medicine and Dentistry 8 38%
Neuroscience 2 10%
Arts and Humanities 1 5%
Social Sciences 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 10%
Unknown 6 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 September 2019.
All research outputs
#18,030,214
of 23,164,913 outputs
Outputs from BMC Medical Research Methodology
#1,706
of 2,042 outputs
Outputs of similar age
#240,837
of 342,881 outputs
Outputs of similar age from BMC Medical Research Methodology
#18
of 27 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,042 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 13th percentile – i.e., 13% 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 342,881 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.