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Can epidemic detection systems at the hospital level complement regional surveillance networks: Case study with the influenza epidemic?

Overview of attention for article published in BMC Infectious Diseases, July 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
45 Mendeley
Title
Can epidemic detection systems at the hospital level complement regional surveillance networks: Case study with the influenza epidemic?
Published in
BMC Infectious Diseases, July 2014
DOI 10.1186/1471-2334-14-381
Pubmed ID
Authors

Solweig Gerbier-Colomban, Véronique Potinet-Pagliaroli, Marie-Hélène Metzger

Abstract

Early knowledge of influenza outbreaks in the community allows local hospital healthcare workers to recognise the clinical signs of influenza in hospitalised patients and to apply effective precautions. The objective was to assess intra-hospital surveillance systems to detect earlier than regional surveillance systems influenza outbreaks in the community.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Portugal 1 2%
Canada 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Researcher 7 16%
Student > Bachelor 5 11%
Student > Doctoral Student 5 11%
Student > Master 4 9%
Other 8 18%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 13 29%
Agricultural and Biological Sciences 7 16%
Nursing and Health Professions 3 7%
Social Sciences 2 4%
Psychology 2 4%
Other 10 22%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 10 July 2014.
All research outputs
#4,165,350
of 22,758,248 outputs
Outputs from BMC Infectious Diseases
#1,338
of 7,664 outputs
Outputs of similar age
#41,060
of 225,815 outputs
Outputs of similar age from BMC Infectious Diseases
#26
of 151 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,664 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 81% 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 225,815 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.