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Legionnaires’ disease case-finding algorithm, attack rates, and risk factors during a residential outbreak among older adults: an environmental and cohort study

Overview of attention for article published in BMC Infectious Diseases, June 2013
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Mentioned by

twitter
2 tweeters

Citations

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8 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Legionnaires’ disease case-finding algorithm, attack rates, and risk factors during a residential outbreak among older adults: an environmental and cohort study
Published in
BMC Infectious Diseases, June 2013
DOI 10.1186/1471-2334-13-291
Pubmed ID
Authors

Benjamin J Silk, Jennifer L Foltz, Kompan Ngamsnga, Ellen Brown, Mary Grace Muñoz, Lee M Hampton, Kara Jacobs-Slifka, Natalia A Kozak, J Michael Underwood, John Krick, Tatiana Travis, Olivia Farrow, Barry S Fields, David Blythe, Lauri A Hicks

Abstract

During a Legionnaires' disease (LD) outbreak, combined epidemiological and environmental investigations were conducted to identify prevention recommendations for facilities where elderly residents live independently but have an increased risk of legionellosis.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 24%
Researcher 6 12%
Student > Ph. D. Student 5 10%
Student > Bachelor 5 10%
Other 4 8%
Other 7 14%
Unknown 12 24%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Social Sciences 6 12%
Nursing and Health Professions 6 12%
Agricultural and Biological Sciences 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Other 9 18%
Unknown 12 24%

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 10 July 2013.
All research outputs
#7,822,684
of 12,976,775 outputs
Outputs from BMC Infectious Diseases
#2,412
of 4,821 outputs
Outputs of similar age
#75,470
of 151,223 outputs
Outputs of similar age from BMC Infectious Diseases
#1
of 1 outputs
Altmetric has tracked 12,976,775 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,821 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 45th percentile – i.e., 45% 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 151,223 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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