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Network-based prediction of COVID-19 epidemic spreading in Italy

Overview of attention for article published in Applied Network Science, November 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
34 Mendeley
Title
Network-based prediction of COVID-19 epidemic spreading in Italy
Published in
Applied Network Science, November 2020
DOI 10.1007/s41109-020-00333-8
Authors

Clara Pizzuti, Annalisa Socievole, Bastian Prasse, Piet Van Mieghem

Twitter Demographics

The data shown below were collected from the profiles of 5 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Student > Master 5 15%
Student > Doctoral Student 3 9%
Researcher 2 6%
Student > Bachelor 2 6%
Other 8 24%
Unknown 8 24%
Readers by discipline Count As %
Computer Science 5 15%
Nursing and Health Professions 4 12%
Engineering 3 9%
Mathematics 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 8 24%
Unknown 11 32%

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 08 December 2020.
All research outputs
#10,865,793
of 19,629,044 outputs
Outputs from Applied Network Science
#203
of 406 outputs
Outputs of similar age
#205,304
of 473,717 outputs
Outputs of similar age from Applied Network Science
#45
of 95 outputs
Altmetric has tracked 19,629,044 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 473,717 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 56% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.