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Bacterial Communities Associated with the Surfaces of Fresh Fruits and Vegetables

Overview of attention for article published in PLOS ONE, March 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
11 news outlets
blogs
6 blogs
twitter
72 X users
facebook
6 Facebook pages
googleplus
2 Google+ users
reddit
2 Redditors

Citations

dimensions_citation
359 Dimensions

Readers on

mendeley
602 Mendeley
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Title
Bacterial Communities Associated with the Surfaces of Fresh Fruits and Vegetables
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0059310
Pubmed ID
Authors

Jonathan W. Leff, Noah Fierer

Abstract

Fresh fruits and vegetables can harbor large and diverse populations of bacteria. However, most of the work on produce-associated bacteria has focused on a relatively small number of pathogenic bacteria and, as a result, we know far less about the overall diversity and composition of those bacterial communities found on produce and how the structure of these communities varies across produce types. Moreover, we lack a comprehensive view of the potential effects of differing farming practices on the bacterial communities to which consumers are exposed. We addressed these knowledge gaps by assessing bacterial community structure on conventional and organic analogs of eleven store-bought produce types using a culture-independent approach, 16 S rRNA gene pyrosequencing. Our results demonstrated that the fruits and vegetables harbored diverse bacterial communities, and the communities on each produce type were significantly distinct from one another. However, certain produce types (i.e., sprouts, spinach, lettuce, tomatoes, peppers, and strawberries) tended to share more similar communities as they all had high relative abundances of taxa belonging to the family Enterobacteriaceae when compared to the other produce types (i.e., apples, peaches, grapes, and mushrooms) which were dominated by taxa belonging to the Actinobacteria, Bacteroidetes, Firmicutes, and Proteobacteria phyla. Although potentially driven by factors other than farming practice, we also observed significant differences in community composition between conventional and organic analogs within produce types. These differences were often attributable to distinctions in the relative abundances of Enterobacteriaceae taxa, which were generally less abundant in organically-grown produce. Taken together, our results suggest that humans are exposed to substantially different bacteria depending on the types of fresh produce they consume with differences between conventionally and organically farmed varieties contributing to this variation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 72 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 602 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 2%
Canada 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
France 1 <1%
Indonesia 1 <1%
Germany 1 <1%
Colombia 1 <1%
Other 7 1%
Unknown 574 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 100 17%
Researcher 98 16%
Student > Bachelor 89 15%
Student > Master 86 14%
Other 25 4%
Other 91 15%
Unknown 113 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 260 43%
Biochemistry, Genetics and Molecular Biology 74 12%
Immunology and Microbiology 26 4%
Environmental Science 23 4%
Engineering 15 2%
Other 68 11%
Unknown 136 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 183. 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 04 October 2023.
All research outputs
#221,929
of 25,706,302 outputs
Outputs from PLOS ONE
#3,254
of 224,010 outputs
Outputs of similar age
#1,365
of 211,180 outputs
Outputs of similar age from PLOS ONE
#68
of 5,350 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 98% 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 211,180 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 5,350 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.