↓ Skip to main content

Characterization of Salmonella spp. from wastewater used for food production in Morogoro, Tanzania

Overview of attention for article published in World Journal of Microbiology and Biotechnology, February 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
76 Mendeley
Title
Characterization of Salmonella spp. from wastewater used for food production in Morogoro, Tanzania
Published in
World Journal of Microbiology and Biotechnology, February 2017
DOI 10.1007/s11274-017-2209-6
Pubmed ID
Authors

Ofred J. Mhongole, Robinson H. Mdegela, Lughano J. M. Kusiluka, Anita Forslund, Anders Dalsgaard

Abstract

Wastewater use for crop irrigation and aquaculture is commonly practiced by communities situated close to wastewater treatment ponds. The objective of this study was to characterize Salmonella spp. and their antimicrobial susceptibility patterns among isolates from wastewater and Tilapia fish. A total of 123 Salmonella spp. isolates were isolated from 52 water and 21 fish intestinal samples. Genotyping of Salmonella spp. isolates was done by Pulsed-field Gel Electrophoresis (PFGE). Antimicrobial susceptibility testing was done by the minimal inhibitory concentration (MIC) technique. A total of 123 Salmonella spp. isolates represented 13 different serovars and 22 PFGE groups. Salmonella serovars showed resistance to 8 out of 14 antimicrobials; sulfamethaxazole (94%), streptomycin (61%), tetracycline (22%), ciprofloxacin and nalidixic acid (17%), trimethoprim (11%); gentamycin and chloramphenicol (6%). Salmonella Kentucky, S. Chandans, S. Durban and S. Kiambu showed multiple antimicrobial resistance to 7, 6 and 3 antimicrobials, respectively. This study has demonstrated that wastewater at the study sites is contaminated with Salmonella spp. which are resistant to common antimicrobials used for treatment of diseases in humans. Wastewater may, therefore, contaminate pristine surface water bodies and foodstuffs including fish and irrigated crops as well as food handlers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 16%
Student > Master 9 12%
Student > Ph. D. Student 9 12%
Student > Bachelor 5 7%
Lecturer 4 5%
Other 11 14%
Unknown 26 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 14%
Biochemistry, Genetics and Molecular Biology 7 9%
Veterinary Science and Veterinary Medicine 5 7%
Immunology and Microbiology 5 7%
Environmental Science 4 5%
Other 11 14%
Unknown 33 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 April 2017.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from World Journal of Microbiology and Biotechnology
#990
of 1,757 outputs
Outputs of similar age
#263,717
of 426,410 outputs
Outputs of similar age from World Journal of Microbiology and Biotechnology
#11
of 24 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,757 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 33rd percentile – i.e., 33% 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 426,410 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.