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OMG U got flu? Analysis of shared health messages for bio-surveillance

Overview of attention for article published in Journal of Biomedical Semantics, January 2011
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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 313)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
19 tweeters

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
146 Mendeley
citeulike
4 CiteULike
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Title
OMG U got flu? Analysis of shared health messages for bio-surveillance
Published in
Journal of Biomedical Semantics, January 2011
DOI 10.1186/2041-1480-2-s5-s9
Pubmed ID
Authors

Nigel Collier, Nguyen Son, Ngoc Nguyen

Abstract

Micro-blogging services such as Twitter offer the potential to crowdsource epidemics in real-time. However, Twitter posts ('tweets') are often ambiguous and reactive to media trends. In order to ground user messages in epidemic response we focused on tracking reports of self-protective behaviour such as avoiding public gatherings or increased sanitation as the basis for further risk analysis.

Twitter Demographics

The data shown below were collected from the profiles of 19 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Switzerland 2 1%
Pakistan 1 <1%
Korea, Republic of 1 <1%
United Kingdom 1 <1%
Unknown 137 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 18%
Student > Ph. D. Student 22 15%
Researcher 14 10%
Other 8 5%
Student > Bachelor 7 5%
Other 18 12%
Unknown 51 35%
Readers by discipline Count As %
Computer Science 28 19%
Medicine and Dentistry 22 15%
Social Sciences 9 6%
Agricultural and Biological Sciences 7 5%
Psychology 4 3%
Other 19 13%
Unknown 57 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 16 April 2012.
All research outputs
#590,161
of 12,380,064 outputs
Outputs from Journal of Biomedical Semantics
#9
of 313 outputs
Outputs of similar age
#4,242
of 101,318 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 6 outputs
Altmetric has tracked 12,380,064 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 313 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 97% 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 101,318 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 95% of its contemporaries.
We're also able to compare this research output to 6 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