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Zero-augmented beta-prime model for multilevel semi-continuous data: a Bayesian inference

Overview of attention for article published in BMC Medical Research Methodology, November 2022
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Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

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3 Mendeley
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Title
Zero-augmented beta-prime model for multilevel semi-continuous data: a Bayesian inference
Published in
BMC Medical Research Methodology, November 2022
DOI 10.1186/s12874-022-01736-0
Pubmed ID
Authors

Naser Kamyari, Ali Reza Soltanian, Hossein Mahjub, Abbas Moghimbeigi, Maryam Seyedtabib

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Unknown 2 67%
Readers by discipline Count As %
Nursing and Health Professions 1 33%
Unknown 2 67%
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 01 December 2022.
All research outputs
#16,099,609
of 23,891,012 outputs
Outputs from BMC Medical Research Methodology
#1,565
of 2,109 outputs
Outputs of similar age
#245,558
of 447,319 outputs
Outputs of similar age from BMC Medical Research Methodology
#39
of 60 outputs
Altmetric has tracked 23,891,012 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,109 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 16th percentile – i.e., 16% 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 447,319 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.