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Teacher led school-based surveillance can allow accurate tracking of emerging infectious diseases - evidence from serial cross-sectional surveys of febrile respiratory illness during the H1N1 2009…

Overview of attention for article published in BMC Infectious Diseases, December 2012
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Mentioned by

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3 X users

Citations

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8 Dimensions

Readers on

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42 Mendeley
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Title
Teacher led school-based surveillance can allow accurate tracking of emerging infectious diseases - evidence from serial cross-sectional surveys of febrile respiratory illness during the H1N1 2009 influenza pandemic in Singapore
Published in
BMC Infectious Diseases, December 2012
DOI 10.1186/1471-2334-12-336
Pubmed ID
Authors

Shu E Soh, Alex R Cook, Mark IC Chen, Vernon J Lee, Jeffery L Cutter, Vincent TK Chow, Nancy WS Tee, Raymond TP Lin, Wei-Yen Lim, Ian G Barr, Cui Lin, Meng Chee Phoon, Li Wei Ang, Sunil K Sethi, Chia Yin Chong, Lee Gan Goh, Denise LM Goh, Paul A Tambyah, Koh Cheng Thoon, Yee Sin Leo, Seang Mei Saw

Abstract

Schools are important foci of influenza transmission and potential targets for surveillance and interventions. We compared several school-based influenza monitoring systems with clinic-based influenza-like illness (ILI) surveillance, and assessed the variation in illness rates between and within schools.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Vietnam 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Master 6 14%
Student > Ph. D. Student 5 12%
Student > Bachelor 4 10%
Lecturer > Senior Lecturer 3 7%
Other 9 21%
Unknown 5 12%
Readers by discipline Count As %
Medicine and Dentistry 13 31%
Agricultural and Biological Sciences 4 10%
Immunology and Microbiology 3 7%
Social Sciences 3 7%
Business, Management and Accounting 2 5%
Other 8 19%
Unknown 9 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 December 2012.
All research outputs
#15,332,207
of 23,577,761 outputs
Outputs from BMC Infectious Diseases
#4,185
of 7,854 outputs
Outputs of similar age
#177,847
of 282,130 outputs
Outputs of similar age from BMC Infectious Diseases
#71
of 147 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,854 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 282,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.