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Metabolic differentiation of early Lyme disease from southern tick–associated rash illness (STARI)

Overview of attention for article published in Science Translational Medicine, August 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
50 news outlets
blogs
3 blogs
policy
1 policy source
twitter
21 X users
patent
1 patent
facebook
4 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
61 Mendeley
citeulike
1 CiteULike
Title
Metabolic differentiation of early Lyme disease from southern tick–associated rash illness (STARI)
Published in
Science Translational Medicine, August 2017
DOI 10.1126/scitranslmed.aal2717
Pubmed ID
Authors

Claudia R Molins, Laura V Ashton, Gary P Wormser, Barbara G Andre, Ann M Hess, Mark J Delorey, Mark A Pilgard, Barbara J Johnson, Kristofor Webb, M Nurul Islam, Adoracion Pegalajar-Jurado, Irida Molla, Mollie W Jewett, John T Belisle

Abstract

Lyme disease, the most commonly reported vector-borne disease in the United States, results from infection with Borrelia burgdorferi. Early clinical diagnosis of this disease is largely based on the presence of an erythematous skin lesion for individuals in high-risk regions. This, however, can be confused with other illnesses including southern tick-associated rash illness (STARI), an illness that lacks a defined etiological agent or laboratory diagnostic test, and is coprevalent with Lyme disease in portions of the eastern United States. By applying an unbiased metabolomics approach with sera retrospectively obtained from well-characterized patients, we defined biochemical and diagnostic differences between early Lyme disease and STARI. Specifically, a metabolic biosignature consisting of 261 molecular features (MFs) revealed that altered N-acyl ethanolamine and primary fatty acid amide metabolism discriminated early Lyme disease from STARI. Development of classification models with the 261-MF biosignature and testing against validation samples differentiated early Lyme disease from STARI with an accuracy of 85 to 98%. These findings revealed metabolic dissimilarity between early Lyme disease and STARI, and provide a powerful and new approach to inform patient management by objectively distinguishing early Lyme disease from an illness with nearly identical symptoms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 21%
Student > Ph. D. Student 9 15%
Student > Bachelor 8 13%
Student > Master 6 10%
Professor > Associate Professor 4 7%
Other 7 11%
Unknown 14 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 18%
Medicine and Dentistry 9 15%
Biochemistry, Genetics and Molecular Biology 7 11%
Immunology and Microbiology 5 8%
Chemistry 5 8%
Other 10 16%
Unknown 14 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 418. 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 18 October 2022.
All research outputs
#67,788
of 25,027,753 outputs
Outputs from Science Translational Medicine
#231
of 5,379 outputs
Outputs of similar age
#1,392
of 292,635 outputs
Outputs of similar age from Science Translational Medicine
#11
of 116 outputs
Altmetric has tracked 25,027,753 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 86.4. This one has done particularly well, scoring higher than 95% 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 292,635 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 99% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.