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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 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 284)
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

twitter
47 tweeters

Citations

dimensions_citation
134 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

Twitter Demographics

The data shown below were collected from the profiles of 47 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 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 31 26%
Student > Ph. D. Student 25 21%
Professor > Associate Professor 13 11%
Student > Master 11 9%
Professor 8 7%
Other 20 17%
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

This research output has an Altmetric Attention Score of 30. 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
#1,005,056
of 21,009,751 outputs
Outputs from Theoretical Biology and Medical Modelling
#13
of 284 outputs
Outputs of similar age
#25,284
of 291,317 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 1 outputs
Altmetric has tracked 21,009,751 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 291,317 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 91% 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