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Renormalization Group Approach to Pandemics as a Time-Dependent SIR Model

Overview of attention for article published in Frontiers in Physics, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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5 X users

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9 Mendeley
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Title
Renormalization Group Approach to Pandemics as a Time-Dependent SIR Model
Published in
Frontiers in Physics, January 2021
DOI 10.3389/fphy.2020.591876
Authors

Michele Della Morte, Francesco Sannino

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Ph. D. Student 2 22%
Professor 1 11%
Lecturer 1 11%
Unknown 2 22%
Readers by discipline Count As %
Nursing and Health Professions 1 11%
Economics, Econometrics and Finance 1 11%
Psychology 1 11%
Physics and Astronomy 1 11%
Social Sciences 1 11%
Other 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2021.
All research outputs
#14,611,205
of 25,387,668 outputs
Outputs from Frontiers in Physics
#444
of 4,474 outputs
Outputs of similar age
#255,939
of 539,043 outputs
Outputs of similar age from Frontiers in Physics
#18
of 162 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,474 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 89% 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 539,043 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 51% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.