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Assessing COVID-19 vaccination strategies in varied demographics using an individual-based model

Overview of attention for article published in Frontiers in Public Health, September 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
19 Mendeley
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Title
Assessing COVID-19 vaccination strategies in varied demographics using an individual-based model
Published in
Frontiers in Public Health, September 2022
DOI 10.3389/fpubh.2022.966756
Pubmed ID
Authors

Noam Ben-Zuk, Yair Daon, Amit Sasson, Dror Ben-Adi, Amit Huppert, Daniel Nevo, Uri Obolski

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Student > Bachelor 2 11%
Researcher 2 11%
Student > Ph. D. Student 2 11%
Professor 1 5%
Other 0 0%
Unknown 8 42%
Readers by discipline Count As %
Nursing and Health Professions 4 21%
Medicine and Dentistry 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Business, Management and Accounting 1 5%
Mathematics 1 5%
Other 2 11%
Unknown 8 42%
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 18 September 2022.
All research outputs
#6,641,724
of 25,203,135 outputs
Outputs from Frontiers in Public Health
#2,515
of 13,693 outputs
Outputs of similar age
#117,619
of 425,422 outputs
Outputs of similar age from Frontiers in Public Health
#182
of 1,381 outputs
Altmetric has tracked 25,203,135 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 13,693 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 81% 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 425,422 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 1,381 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.