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Using GAM functions and Markov-Switching models in an evaluation framework to assess countries’ performance in controlling the COVID-19 pandemic

Overview of attention for article published in BMC Public Health, November 2021
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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22 Mendeley
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Title
Using GAM functions and Markov-Switching models in an evaluation framework to assess countries’ performance in controlling the COVID-19 pandemic
Published in
BMC Public Health, November 2021
DOI 10.1186/s12889-021-11891-6
Pubmed ID
Authors

Abdinardo M. B. de Oliveira, Jane M. Binner, Anandadeep Mandal, Logan Kelly, Gabriel J. Power

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 14%
Researcher 2 9%
Unspecified 1 5%
Other 1 5%
Professor 1 5%
Other 3 14%
Unknown 11 50%
Readers by discipline Count As %
Medicine and Dentistry 2 9%
Arts and Humanities 1 5%
Unspecified 1 5%
Environmental Science 1 5%
Veterinary Science and Veterinary Medicine 1 5%
Other 4 18%
Unknown 12 55%
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 29 November 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from BMC Public Health
#14,207
of 15,198 outputs
Outputs of similar age
#417,306
of 510,267 outputs
Outputs of similar age from BMC Public Health
#319
of 359 outputs
Altmetric has tracked 23,310,485 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 15,198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. 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 510,267 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 359 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.