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Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples

Overview of attention for article published in BMC Public Health, December 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
16 news outlets
blogs
1 blog
policy
1 policy source
twitter
13 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
92 Mendeley
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Title
Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples
Published in
BMC Public Health, December 2019
DOI 10.1186/s12889-019-7966-8
Pubmed ID
Authors

Chelsea S. Lutz, Mimi P. Huynh, Monica Schroeder, Sophia Anyatonwu, F. Scott Dahlgren, Gregory Danyluk, Danielle Fernandez, Sharon K. Greene, Nodar Kipshidze, Leann Liu, Osaro Mgbere, Lisa A. McHugh, Jennifer F. Myers, Alan Siniscalchi, Amy D. Sullivan, Nicole West, Michael A. Johansson, Matthew Biggerstaff

Twitter Demographics

The data shown below were collected from the profiles of 13 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Student > Master 14 15%
Student > Bachelor 12 13%
Researcher 10 11%
Other 5 5%
Other 11 12%
Unknown 25 27%
Readers by discipline Count As %
Medicine and Dentistry 17 18%
Computer Science 9 10%
Nursing and Health Professions 8 9%
Engineering 5 5%
Agricultural and Biological Sciences 5 5%
Other 18 20%
Unknown 30 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 149. 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 01 January 2021.
All research outputs
#162,333
of 18,057,469 outputs
Outputs from BMC Public Health
#139
of 12,164 outputs
Outputs of similar age
#5,547
of 403,247 outputs
Outputs of similar age from BMC Public Health
#17
of 1,254 outputs
Altmetric has tracked 18,057,469 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,164 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done particularly well, scoring higher than 98% 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 403,247 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 1,254 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 98% of its contemporaries.