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Relationship between the population incidence of pertussis in children in New South Wales, Australia and emergency department visits with cough: a time series analysis

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2013
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3 X users

Citations

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56 Mendeley
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Title
Relationship between the population incidence of pertussis in children in New South Wales, Australia and emergency department visits with cough: a time series analysis
Published in
BMC Medical Informatics and Decision Making, March 2013
DOI 10.1186/1472-6947-13-40
Pubmed ID
Authors

Aaron W Cashmore, David J Muscatello, Alistair Merrifield, Paula Spokes, Kristine Macartney, Bin B Jalaludin

Abstract

Little is known about the potential of syndromic surveillance to provide early warning of pertussis outbreaks. We conducted a time series analysis to assess whether an emergency department (ED) cough syndrome would respond to changes in the incidence of pertussis in children aged under 10 years in New South Wales (NSW), Australia, and to evaluate the timing of any association. A further aim was to assess the lag between the onset of pertussis symptoms and case notification in the infectious diseases surveillance system in NSW.

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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Switzerland 1 2%
Unknown 54 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 11 20%
Student > Doctoral Student 6 11%
Student > Postgraduate 5 9%
Student > Master 5 9%
Other 13 23%
Unknown 5 9%
Readers by discipline Count As %
Medicine and Dentistry 22 39%
Agricultural and Biological Sciences 5 9%
Nursing and Health Professions 4 7%
Social Sciences 3 5%
Computer Science 3 5%
Other 11 20%
Unknown 8 14%
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 02 August 2013.
All research outputs
#14,165,787
of 22,703,044 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,101
of 1,981 outputs
Outputs of similar age
#112,839
of 197,824 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 39 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,981 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 197,824 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.