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Ocular bacterial infections and antibiotic resistance patterns in patients attending Gondar Teaching Hospital, Northwest Ethiopia

Overview of attention for article published in BMC Research Notes, August 2018
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2 tweeters
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1 Google+ user

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16 Mendeley
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Title
Ocular bacterial infections and antibiotic resistance patterns in patients attending Gondar Teaching Hospital, Northwest Ethiopia
Published in
BMC Research Notes, August 2018
DOI 10.1186/s13104-018-3705-y
Pubmed ID
Authors

Yeshambel Belyhun, Feleke Moges, Mengistu Endris, Banchamlak Asmare, Bemnet Amare, Damtew Bekele, Solomon Tesfaye, Martha Alemayehu, Fantahun Biadgelegne, Andargachew Mulu, Yared Assefa

Abstract

Empirical selections of antimicrobial therapy based on clinical observations are common clinical practices in Ethiopia. This study identified common external ocular infections and determined antibiotic susceptibility testing in northwest Ethiopia. Among 210 patients studied, conjunctivitis 32.9%(69), blepharitis 26.7%(56), dacryocystitis 14.8%(51), blepharoconjunctivitis 11.9%(25), and trauma 10.0%(21) were the most common external ocular infections. Pathogenic bacteria were isolated among 62.4%(131) cases. The distributions of bacteria detected in conjunctivitis, dacryocystitis, and blepharitis patients were 32.8%(43), 23.7%(31), and 16.0%(21), respectively. The most prevalent isolates were coagulase negative Staphylococci; 27.5%(36), S. aureus; 26.7%(35), Pseudomonas species; 10.7%(14), and E. coli; 7.6%(10). Tetracycline, amoxicillin, chloramphenicol, ampicillin, and nalidic acid showed resistance to bacterial isolates with a respective prevalence of 35.9%(47), 32.1%(42), 26.2%(34), 25.2%(33), and 23.7%(31). Multi-drug resistance patterns to the commonly prescribed antibiotics tested was 20.6%(27), 18.3%(24), 17.6%(23), 5.3%(7), and 4.6%(6) to two, three, four, five, and six antibiotics, respectively. Overall, the multi-drug resistance prevalence rate was 66.4%(87). This study confirmed diverse types of external ocular manifestations associated with bacterial infections with wide ranges of antibiotic resistant phenotypes. Thus, combining clinical information, bacteriological analysis, and antimicrobial susceptibility tests are useful for making an evidence-based selection of antibiotics therapy.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Doctoral Student 3 19%
Student > Bachelor 2 13%
Student > Master 2 13%
Researcher 2 13%
Other 0 0%
Unknown 3 19%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Biochemistry, Genetics and Molecular Biology 3 19%
Immunology and Microbiology 2 13%
Agricultural and Biological Sciences 1 6%
Nursing and Health Professions 1 6%
Other 1 6%
Unknown 3 19%

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 19 August 2018.
All research outputs
#7,944,464
of 13,804,624 outputs
Outputs from BMC Research Notes
#1,312
of 3,138 outputs
Outputs of similar age
#140,431
of 271,882 outputs
Outputs of similar age from BMC Research Notes
#1
of 1 outputs
Altmetric has tracked 13,804,624 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,138 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 55% 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 271,882 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them