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Multistate outbreaks of Salmonella infections linked to imported Maradol papayas – United States, December 2016–September 2017

Overview of attention for article published in Epidemiology & Infection, September 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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21 Mendeley
Title
Multistate outbreaks of Salmonella infections linked to imported Maradol papayas – United States, December 2016–September 2017
Published in
Epidemiology & Infection, September 2019
DOI 10.1017/s0950268819001547
Pubmed ID
Authors

R. Hassan, B. Whitney, D. L. Williams, K. Holloman, D. Grady, D. Thomas, E. Omoregie, K. Lamba, M. Leeper, L. Gieraltowski

Abstract

Foodborne salmonellosis causes approximately 1 million illnesses annually in the United States. In the summer of 2017, we investigated four multistate outbreaks of Salmonella infections associated with Maradol papayas imported from four Mexican farms. PulseNet initially identified a cluster of Salmonella Kiambu infections in June 2017, and early interviews identified papayas as an exposure of interest. Investigators from Maryland, Virginia and Food and Drug Administration (FDA) collected papayas for testing. Several strains of Salmonella were isolated from papayas sourced from Mexican Farm A, including Salmonella Agona, Gaminara, Kiambu, Thompson and Senftenberg. Traceback from two points of service associated with illness sub-clusters in two states identified Farm A as a common source of papayas, and three voluntary recalls of Farm A papayas were issued. FDA sampling isolated four additional Salmonella strains from papayas sourced from Mexican Farms B, C and D. In total, four outbreaks were identified, resulting in 244 cases with illness onset dates from 20 December 2016 to 20 September 2017. The sampling of papayas and the collaborative work of investigative partners were instrumental in identifying the source of these outbreaks and preventing additional illnesses. Evaluating epidemiological, laboratory and traceback evidence together during investigations is critical to solving and stopping outbreaks.

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

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Student > Bachelor 2 10%
Professor 1 5%
Student > Master 1 5%
Researcher 1 5%
Other 0 0%
Unknown 13 62%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 10%
Computer Science 2 10%
Agricultural and Biological Sciences 1 5%
Immunology and Microbiology 1 5%
Earth and Planetary Sciences 1 5%
Other 1 5%
Unknown 13 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 February 2022.
All research outputs
#7,360,834
of 25,385,509 outputs
Outputs from Epidemiology & Infection
#1,485
of 4,680 outputs
Outputs of similar age
#123,401
of 351,548 outputs
Outputs of similar age from Epidemiology & Infection
#17
of 40 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 66% 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 351,548 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.