↓ Skip to main content

Dawoud–Kibria Estimator for Beta Regression Model: Simulation and Application

Overview of attention for article published in Frontiers in Applied Mathematics and Statistics, February 2022
Altmetric Badge

Mentioned by

video
1 YouTube creator

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
5 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Dawoud–Kibria Estimator for Beta Regression Model: Simulation and Application
Published in
Frontiers in Applied Mathematics and Statistics, February 2022
DOI 10.3389/fams.2022.775068
Authors

Mohamed R. Abonazel, Issam Dawoud, Fuad A. Awwad, Adewale F. Lukman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Lecturer 1 20%
Unknown 3 60%
Readers by discipline Count As %
Mathematics 1 20%
Social Sciences 1 20%
Unknown 3 60%
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 09 March 2022.
All research outputs
#20,705,128
of 23,305,591 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#269
of 347 outputs
Outputs of similar age
#362,581
of 441,565 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#12
of 17 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 347 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% 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 441,565 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.