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Public health impact of strain specific immunity to Borrelia burgdorferi

Overview of attention for article published in BMC Infectious Diseases, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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10 X users
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6 Facebook pages

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38 Mendeley
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Title
Public health impact of strain specific immunity to Borrelia burgdorferi
Published in
BMC Infectious Diseases, October 2015
DOI 10.1186/s12879-015-1190-7
Pubmed ID
Authors

Camilo E. Khatchikian, Robert B. Nadelman, John Nowakowski, Ira Schwartz, Michael Z. Levy, Dustin Brisson, Gary P. Wormser

Abstract

Lyme disease, caused by Borrelia burgdorferi, is the most common tick-borne infection in the United States. Although humans can be infected by at least 16 different strains of B. burgdorferi, the overwhelming majority of infections are due to only four strains. It was recently demonstrated that patients who are treated for early Lyme disease develop immunity to the specific strain of B. burgdorferi that caused their infection. The aim of this study is to estimate the reduction in cases of Lyme disease in the United States that may occur as a result of type specific immunity. The analysis was performed based on three analytical models that assessed the effects of type specific immunity. Observational data on the frequency with which different B. burgdorferi strains cause human infection in culture-confirmed patients with an initial episode of erythema migrans diagnosed between 1991 and 2005 in the Northeastern United States were used in the analyses. Assuming a reinfection rate of 3 % and a total incidence of Lyme disease per year of 300,000, the estimated number of averted cases of Lyme disease per year ranges from 319 to 2378 depending on the duration of type specific immunity and the model used. Given the assumptions of the analyses, this analysis suggests that type specific immunity is likely to have public health significance in the United States.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
France 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Master 5 13%
Student > Ph. D. Student 5 13%
Librarian 4 11%
Other 4 11%
Other 5 13%
Unknown 8 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 29%
Immunology and Microbiology 5 13%
Medicine and Dentistry 4 11%
Environmental Science 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 7 18%
Unknown 7 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 November 2023.
All research outputs
#4,355,541
of 24,744,050 outputs
Outputs from BMC Infectious Diseases
#1,426
of 8,304 outputs
Outputs of similar age
#55,827
of 290,445 outputs
Outputs of similar age from BMC Infectious Diseases
#35
of 166 outputs
Altmetric has tracked 24,744,050 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,304 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 82% 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 290,445 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 80% of its contemporaries.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.