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Microbiota That Affect Risk for Shigellosis in Children in Low-Income Countries

Overview of attention for article published in Emerging Infectious Diseases, February 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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111 Mendeley
Title
Microbiota That Affect Risk for Shigellosis in Children in Low-Income Countries
Published in
Emerging Infectious Diseases, February 2015
DOI 10.3201/eid2101.140795
Pubmed ID
Authors

Brianna Lindsay, Joe Oundo, M Anowar Hossain, Martin Antonio, Boubou Tamboura, Alan W Walker, Joseph N Paulson, Julian Parkhill, Richard Omore, Abu S G Faruque, Suman Kumar Das, Usman N Ikumapayi, Mitchell Adeyemi, Doh Sanogo, Debasish Saha, Samba Sow, Tamer H Farag, Dilruba Nasrin, Shan Li, Sandra Panchalingam, Myron M Levine, Karen Kotloff, Laurence S Magder, Laura Hungerford, Halvor Sommerfelt, Mihai Pop, James P Nataro, O Colin Stine

Abstract

Pathogens in the gastrointestinal tract exist within a vast population of microbes. We examined associations between pathogens and composition of gut microbiota as they relate to Shigella spp./enteroinvasive Escherichia coli infection. We analyzed 3,035 stool specimens (1,735 nondiarrheal and 1,300 moderate-to-severe diarrheal) from the Global Enteric Multicenter Study for 9 enteropathogens. Diarrheal specimens had a higher number of enteropathogens (diarrheal mean 1.4, nondiarrheal mean 0.95; p<0.0001). Rotavirus showed a negative association with Shigella spp. in cases of diarrhea (odds ratio 0.31, 95% CI 0.17-0.55) and had a large combined effect on moderate-to-severe diarrhea (odds ratio 29, 95% CI 3.8-220). In 4 Lactobacillus taxa identified by 16S rRNA gene sequencing, the association between pathogen and disease was decreased, which is consistent with the possibility that Lactobacillus spp. are protective against Shigella spp.-induced diarrhea. Bacterial diversity of gut microbiota was associated with diarrhea status, not high levels of the Shigella spp. ipaH gene.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 <1%
Unknown 110 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 23%
Student > Ph. D. Student 18 16%
Student > Master 14 13%
Other 7 6%
Student > Bachelor 6 5%
Other 18 16%
Unknown 22 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 22%
Immunology and Microbiology 18 16%
Medicine and Dentistry 13 12%
Biochemistry, Genetics and Molecular Biology 11 10%
Nursing and Health Professions 6 5%
Other 10 9%
Unknown 29 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 October 2015.
All research outputs
#7,934,253
of 23,885,338 outputs
Outputs from Emerging Infectious Diseases
#5,600
of 9,348 outputs
Outputs of similar age
#109,768
of 358,767 outputs
Outputs of similar age from Emerging Infectious Diseases
#73
of 111 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,348 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.2. This one is in the 27th percentile – i.e., 27% 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 358,767 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 53% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.