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Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm

Overview of attention for article published in BMC Medicine, December 2012
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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 (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

policy
2 policy sources
twitter
23 X users
googleplus
1 Google+ user

Citations

dimensions_citation
259 Dimensions

Readers on

mendeley
228 Mendeley
citeulike
1 CiteULike
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Title
Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm
Published in
BMC Medicine, December 2012
DOI 10.1186/1741-7015-10-165
Pubmed ID
Authors

Michele Tizzoni, Paolo Bajardi, Chiara Poletto, José J Ramasco, Duygu Balcan, Bruno Gonçalves, Nicola Perra, Vittoria Colizza, Alessandro Vespignani

Abstract

Mathematical and computational models for infectious diseases are increasingly used to support public-health decisions; however, their reliability is currently under debate. Real-time forecasts of epidemic spread using data-driven models have been hindered by the technical challenges posed by parameter estimation and validation. Data gathered for the 2009 H1N1 influenza crisis represent an unprecedented opportunity to validate real-time model predictions and define the main success criteria for different approaches.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 1%
Italy 3 1%
United States 3 1%
Vietnam 1 <1%
Brazil 1 <1%
India 1 <1%
Germany 1 <1%
Sri Lanka 1 <1%
United Kingdom 1 <1%
Other 2 <1%
Unknown 211 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 25%
Researcher 38 17%
Student > Master 25 11%
Other 16 7%
Professor 13 6%
Other 47 21%
Unknown 33 14%
Readers by discipline Count As %
Computer Science 36 16%
Medicine and Dentistry 35 15%
Physics and Astronomy 25 11%
Agricultural and Biological Sciences 20 9%
Mathematics 17 7%
Other 56 25%
Unknown 39 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 13 November 2023.
All research outputs
#1,953,397
of 25,837,817 outputs
Outputs from BMC Medicine
#1,370
of 4,075 outputs
Outputs of similar age
#17,098
of 291,401 outputs
Outputs of similar age from BMC Medicine
#25
of 64 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,075 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.8. This one has gotten more attention than average, scoring higher than 66% 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 291,401 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 64 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 60% of its contemporaries.