↓ Skip to main content

Dove Medical Press

Lyme disease: the promise of Big Data, companion diagnostics and precision medicine

Overview of attention for article published in Infection and Drug Resistance, September 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 2,052)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
4 news outlets
twitter
33 X users
facebook
12 Facebook pages
reddit
1 Redditor
video
2 YouTube creators

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
57 Mendeley
Title
Lyme disease: the promise of Big Data, companion diagnostics and precision medicine
Published in
Infection and Drug Resistance, September 2016
DOI 10.2147/idr.s114770
Pubmed ID
Authors

Raphael B Stricker, Lorraine Johnson

Abstract

Lyme disease caused by the spirochete Borrelia burgdorferi has become a major worldwide epidemic. Recent studies based on Big Data registries show that >300,000 people are diagnosed with Lyme disease each year in the USA, and up to two-thirds of individuals infected with B. burgdorferi will fail conventional 30-year-old antibiotic therapy for Lyme disease. In addition, animal and human evidence suggests that sexual transmission of the Lyme spirochete may occur. Improved companion diagnostic tests for Lyme disease need to be implemented, and novel treatment approaches are urgently needed to combat the epidemic. In particular, therapies based on the principles of precision medicine could be modeled on successful "designer drug" treatment for HIV/AIDS and hepatitis C virus infection featuring targeted protease inhibitors. The use of Big Data registries, companion diagnostics and precision medicine will revolutionize the diagnosis and treatment of Lyme disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 23%
Student > Master 8 14%
Student > Ph. D. Student 7 12%
Other 5 9%
Student > Bachelor 3 5%
Other 10 18%
Unknown 11 19%
Readers by discipline Count As %
Medicine and Dentistry 10 18%
Biochemistry, Genetics and Molecular Biology 5 9%
Agricultural and Biological Sciences 5 9%
Social Sciences 4 7%
Immunology and Microbiology 4 7%
Other 16 28%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 23 April 2019.
All research outputs
#769,461
of 25,576,275 outputs
Outputs from Infection and Drug Resistance
#33
of 2,052 outputs
Outputs of similar age
#14,657
of 348,941 outputs
Outputs of similar age from Infection and Drug Resistance
#2
of 7 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,052 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 98% 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 348,941 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.