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Determination of French influenza outbreaks periods between 1985 and 2011 through a web-based Delphi method

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2013
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Title
Determination of French influenza outbreaks periods between 1985 and 2011 through a web-based Delphi method
Published in
BMC Medical Informatics and Decision Making, December 2013
DOI 10.1186/1472-6947-13-138
Pubmed ID
Authors

Marion Debin, Cécile Souty, Clément Turbelin, Thierry Blanchon, Pierre-Yves Boëlle, Thomas Hanslik, Gilles Hejblum, Yann Le Strat, Flavien Quintus, the DelFluWeb study group, Alessandra Falchi

Abstract

Assessing the accuracy of influenza epidemic periods determined by statistical models is important to improve the performance of algorithms used in real-time syndromic surveillance systems. This is a difficult problem to address in the absence of a reliable gold standard. The objective of this study is to establish an expert-based determination of the start and the end of influenza epidemics in France.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Colombia 1 3%
Portugal 1 3%
Germany 1 3%
Unknown 33 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Researcher 8 22%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Other 3 8%
Other 7 19%
Unknown 3 8%
Readers by discipline Count As %
Medicine and Dentistry 10 27%
Nursing and Health Professions 4 11%
Computer Science 4 11%
Social Sciences 3 8%
Agricultural and Biological Sciences 2 5%
Other 7 19%
Unknown 7 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 December 2013.
All research outputs
#17,708,224
of 22,738,543 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,498
of 1,985 outputs
Outputs of similar age
#222,512
of 306,712 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#36
of 43 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 21st percentile – i.e., 21% 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 306,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.