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Temporal trends of β-haemolytic streptococcal osteoarticular infections in western Norway

Overview of attention for article published in BMC Infectious Diseases, October 2016
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  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

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2 tweeters
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1 Wikipedia page

Citations

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9 Dimensions

Readers on

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25 Mendeley
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Title
Temporal trends of β-haemolytic streptococcal osteoarticular infections in western Norway
Published in
BMC Infectious Diseases, October 2016
DOI 10.1186/s12879-016-1874-7
Pubmed ID
Authors

Oddvar Oppegaard, Steinar Skrede, Haima Mylvaganam, Bård Reiakvam Kittang

Abstract

Beta-haemolytic streptococci are important contributors to the global burden of osteoarticular infections (OAI). Knowledge on the disease traits specific for streptococcal OAI, however, remains scarce. We wished to explore temporal trends of OAI caused by Group A Streptococci (GAS), Group B Streptococci (GBS) and Group C and G Streptococci (GCGS), and furthermore, to describe the associated host and pathogen characteristics. All cases of microbiologically verified β-haemolytic streptococcal OAI in Health Region Bergen, Norway, in the period 1999-2013 were retrospectively identified. Clinical data were extracted from medical records. Microbial isolates were submitted to antibiotic susceptibility testing and molecular typing. A total of 24 GAS, 45 GBS and 42 GCGS acute OAI were identified. The cumulative incidence of GCGS OAI, but not GAS or GBS OAI, increased significantly from the first to the last 5-year period (IRR 5.7, p = 0.0003), with the annual incidence peaking at 1.9/100 000 in 2013. GAS OAI generally produced the most acute and severe clinical presentation, whereas GBS and GCGS predominantly affected the elderly, and were significantly associated with the presence of host risk factors of systemic and focal origin, respectively. We found a significantly increasing incidence of GCGS OAI, likely related to the presence of host susceptibility factors, including prosthetic material and pre-existing joint disease. With an increasing application of therapeutic and diagnostic bone and joint procedures, the rising trend of OAI caused by GCGS is likely to continue. Sustained epidemiological attentiveness to GCGS seems warranted.

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

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 20%
Other 2 8%
Student > Doctoral Student 2 8%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Other 4 16%
Unknown 8 32%
Readers by discipline Count As %
Medicine and Dentistry 11 44%
Engineering 2 8%
Agricultural and Biological Sciences 2 8%
Nursing and Health Professions 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 0 0%
Unknown 8 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 October 2016.
All research outputs
#5,561,821
of 19,879,998 outputs
Outputs from BMC Infectious Diseases
#1,696
of 6,854 outputs
Outputs of similar age
#89,219
of 288,781 outputs
Outputs of similar age from BMC Infectious Diseases
#1
of 1 outputs
Altmetric has tracked 19,879,998 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 6,854 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has gotten more attention than average, scoring higher than 74% 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 288,781 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 68% of its contemporaries.
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