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Activity-driven network modeling and control of the spread of two concurrent epidemic strains

Overview of attention for article published in Applied Network Science, September 2022
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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 (74th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
9 X users

Citations

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2 Dimensions

Readers on

mendeley
9 Mendeley
Title
Activity-driven network modeling and control of the spread of two concurrent epidemic strains
Published in
Applied Network Science, September 2022
DOI 10.1007/s41109-022-00507-6
Pubmed ID
Authors

Daniel Alberto Burbano Lombana, Lorenzo Zino, Sachit Butail, Emanuele Caroppo, Zhong-Ping Jiang, Alessandro Rizzo, Maurizio Porfiri

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 %
Student > Postgraduate 2 22%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Unknown 5 56%
Readers by discipline Count As %
Nursing and Health Professions 1 11%
Economics, Econometrics and Finance 1 11%
Physics and Astronomy 1 11%
Unknown 6 67%
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 11 November 2023.
All research outputs
#6,304,768
of 25,346,731 outputs
Outputs from Applied Network Science
#149
of 581 outputs
Outputs of similar age
#111,496
of 431,334 outputs
Outputs of similar age from Applied Network Science
#2
of 19 outputs
Altmetric has tracked 25,346,731 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 581 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 74% 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 431,334 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 74% of its contemporaries.
We're also able to compare this research output to 19 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.