↓ Skip to main content

Spread of resistant gram negatives in a Sri Lankan intensive care unit

Overview of attention for article published in BMC Infectious Diseases, July 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
81 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Spread of resistant gram negatives in a Sri Lankan intensive care unit
Published in
BMC Infectious Diseases, July 2017
DOI 10.1186/s12879-017-2590-7
Pubmed ID
Authors

Kavinda Tissera, Veranja Liyanapathirana, Nilanthi Dissanayake, Vasanthi Pinto, Asela Ekanayake, Manjula Tennakoon, Dinuka Adasooriya, Dulmini Nanayakkara

Abstract

Infections with multi drug resistant (MDR) organisms are a major problem in intensive care units (ICUs). Proper infection control procedures are mandatory to combat the spread of resistant organisms within ICUs. Well stablished surveillance programmes will enhance the adherence of the staff to infection control protocols. The study was conducted to assess the feasibility of using basic molecular typing methods and routine hospital data for laboratory surveillance of resistance organisms in resource limited settings. A retrospective study was conducted using consecutive Gram negative isolates obtained from an ICU over a six month period. Antibiotic sensitivity patterns and random amplified polymorphic DNA (RAPD) based typing was performed on the given isolates. Of the seventy isolates included in the study, seven were E.coli. All E.coli were MDRs and Extended Spectrum β lactamse (ESBL) producers carrying bla CTX-M. Fourteen isolates were K.pneumoniae, and all were MDRs and ESBL producers. All K.pneumoniae harboured bla SHV while 13 harboured bla CTX-M. The MDR rate among P.aeruginosa was 13% (n=15) while all acinetobacters (n=30) were MDRs. Predominant clusters were identified within all four types of Gram negatives using RAPD and the ICU stay of patients overlapped temporally. We propose that simple surveillance methods like RAPD based typing and basic hospital data can be used to convince hospital staff to adhere to infection control protocols more effectively, in low and middle income countries.

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

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 19%
Researcher 10 12%
Student > Postgraduate 8 10%
Student > Ph. D. Student 6 7%
Unspecified 5 6%
Other 17 21%
Unknown 20 25%
Readers by discipline Count As %
Medicine and Dentistry 22 27%
Immunology and Microbiology 8 10%
Unspecified 5 6%
Nursing and Health Professions 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Other 13 16%
Unknown 24 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 17 July 2017.
All research outputs
#3,095,837
of 22,988,380 outputs
Outputs from BMC Infectious Diseases
#1,000
of 7,717 outputs
Outputs of similar age
#58,165
of 312,560 outputs
Outputs of similar age from BMC Infectious Diseases
#23
of 188 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,717 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done well, scoring higher than 86% 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 312,560 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.