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Pros and cons of estimating the reproduction number from early epidemic growth rate of influenza A (H1N1) 2009

Overview of attention for article published in Theoretical Biology and Medical Modelling, January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 287)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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46 X users

Citations

dimensions_citation
148 Dimensions

Readers on

mendeley
118 Mendeley
citeulike
2 CiteULike
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Title
Pros and cons of estimating the reproduction number from early epidemic growth rate of influenza A (H1N1) 2009
Published in
Theoretical Biology and Medical Modelling, January 2010
DOI 10.1186/1742-4682-7-1
Pubmed ID
Authors

Hiroshi Nishiura, Gerardo Chowell, Muntaser Safan, Carlos Castillo-Chavez

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Italy 2 2%
Japan 2 2%
United Kingdom 2 2%
Australia 2 2%
Brazil 1 <1%
Israel 1 <1%
Vietnam 1 <1%
Colombia 1 <1%
Other 3 3%
Unknown 99 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 25%
Student > Ph. D. Student 25 21%
Professor > Associate Professor 13 11%
Student > Master 11 9%
Professor 8 7%
Other 21 18%
Unknown 10 8%
Readers by discipline Count As %
Medicine and Dentistry 32 27%
Agricultural and Biological Sciences 22 19%
Mathematics 20 17%
Computer Science 5 4%
Economics, Econometrics and Finance 4 3%
Other 14 12%
Unknown 21 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 04 August 2020.
All research outputs
#1,367,451
of 25,481,734 outputs
Outputs from Theoretical Biology and Medical Modelling
#15
of 287 outputs
Outputs of similar age
#5,697
of 173,669 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 8 outputs
Altmetric has tracked 25,481,734 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 287 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 95% 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 173,669 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 96% of its contemporaries.
We're also able to compare this research output to 8 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