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Metapopulation Network Models for Understanding, Predicting, and Managing the Coronavirus Disease COVID-19

Overview of attention for article published in Frontiers in Physics, June 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Readers on

mendeley
86 Mendeley
Title
Metapopulation Network Models for Understanding, Predicting, and Managing the Coronavirus Disease COVID-19
Published in
Frontiers in Physics, June 2020
DOI 10.3389/fphy.2020.00261
Authors

Daniela Calvetti, Alexander P. Hoover, Johnie Rose, Erkki Somersalo

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

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 23%
Researcher 11 13%
Student > Master 8 9%
Student > Doctoral Student 5 6%
Student > Bachelor 5 6%
Other 20 23%
Unknown 17 20%
Readers by discipline Count As %
Mathematics 11 13%
Physics and Astronomy 9 10%
Medicine and Dentistry 6 7%
Environmental Science 6 7%
Computer Science 6 7%
Other 21 24%
Unknown 27 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 27 August 2020.
All research outputs
#3,190,974
of 23,215,490 outputs
Outputs from Frontiers in Physics
#121
of 3,656 outputs
Outputs of similar age
#84,502
of 399,265 outputs
Outputs of similar age from Frontiers in Physics
#6
of 138 outputs
Altmetric has tracked 23,215,490 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,656 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 96% 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 399,265 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.