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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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2 X users

Citations

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11 Dimensions

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62 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.

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 62 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 60 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 23%
Student > Ph. D. Student 7 11%
Student > Bachelor 6 10%
Researcher 6 10%
Other 5 8%
Other 6 10%
Unknown 18 29%
Readers by discipline Count As %
Medicine and Dentistry 12 19%
Social Sciences 7 11%
Biochemistry, Genetics and Molecular Biology 6 10%
Nursing and Health Professions 6 10%
Agricultural and Biological Sciences 3 5%
Other 10 16%
Unknown 18 29%
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 10 July 2013.
All research outputs
#14,755,210
of 22,713,403 outputs
Outputs from BMC Infectious Diseases
#4,054
of 7,657 outputs
Outputs of similar age
#116,916
of 196,330 outputs
Outputs of similar age from BMC Infectious Diseases
#83
of 153 outputs
Altmetric has tracked 22,713,403 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 7,657 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. 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 196,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.