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The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 2,144)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
2 news outlets
policy
2 policy sources
twitter
85 X users
q&a
1 Q&A thread

Citations

dimensions_citation
292 Dimensions

Readers on

mendeley
276 Mendeley
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Title
The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks
Published in
BMC Medical Informatics and Decision Making, December 2012
DOI 10.1186/1472-6947-12-147
Pubmed ID
Authors

Thomas Obadia, Romana Haneef, Pierre-Yves Boëlle

Abstract

Several generic methods have been proposed to estimate transmission parameters during an outbreak, especially the reproduction number. However, as of today, no dedicated software exists that implements these methods and allow comparisons.

X Demographics

X Demographics

The data shown below were collected from the profiles of 85 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 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
France 2 <1%
Korea, Republic of 1 <1%
Italy 1 <1%
Ireland 1 <1%
Unknown 268 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 23%
Student > Ph. D. Student 56 20%
Student > Master 29 11%
Professor 17 6%
Professor > Associate Professor 13 5%
Other 51 18%
Unknown 46 17%
Readers by discipline Count As %
Medicine and Dentistry 52 19%
Mathematics 34 12%
Agricultural and Biological Sciences 26 9%
Veterinary Science and Veterinary Medicine 14 5%
Computer Science 12 4%
Other 64 23%
Unknown 74 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 82. 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 February 2023.
All research outputs
#520,908
of 25,462,162 outputs
Outputs from BMC Medical Informatics and Decision Making
#9
of 2,144 outputs
Outputs of similar age
#3,630
of 288,953 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 48 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,144 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 99% 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 288,953 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 98% of its contemporaries.
We're also able to compare this research output to 48 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 97% of its contemporaries.