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Modeling partial lockdowns in multiplex networks using partition strategies

Overview of attention for article published in Applied Network Science, April 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Modeling partial lockdowns in multiplex networks using partition strategies
Published in
Applied Network Science, April 2021
DOI 10.1007/s41109-021-00366-7
Authors

Adrià Plazas, Irene Malvestio, Michele Starnini, Albert Díaz-Guilera

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Researcher 4 21%
Student > Ph. D. Student 3 16%
Professor 2 11%
Student > Master 2 11%
Unspecified 1 5%
Other 3 16%
Unknown 4 21%
Readers by discipline Count As %
Social Sciences 3 16%
Physics and Astronomy 3 16%
Medicine and Dentistry 2 11%
Agricultural and Biological Sciences 1 5%
Immunology and Microbiology 1 5%
Other 4 21%
Unknown 5 26%

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 08 April 2021.
All research outputs
#2,623,342
of 20,739,472 outputs
Outputs from Applied Network Science
#80
of 430 outputs
Outputs of similar age
#64,161
of 328,974 outputs
Outputs of similar age from Applied Network Science
#1
of 1 outputs
Altmetric has tracked 20,739,472 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 430 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. 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 328,974 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 80% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them