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Dynamics of Spirochetemia and Early PCR Detection of Borrelia miyamotoi

Overview of attention for article published in Emerging Infectious Diseases, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
15 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
17 Mendeley
Title
Dynamics of Spirochetemia and Early PCR Detection of Borrelia miyamotoi
Published in
Emerging Infectious Diseases, May 2018
DOI 10.3201/eid2405.170829
Pubmed ID
Authors

L. Karan et al.

Abstract

We investigated whether Borrelia miyamotoi disease can be detected in its early stage by using PCR for borrelial 16S rRNA, which molecule (DNA or RNA) is the best choice for this test, and whether spirochetes are present in blood during the acute phase of B. miyamotoi disease. A total of 473 patients with a suspected tickborne infection in Yekaterinburg, Russia, in 2009, 2010, and 2015 were enrolled in this study. Blood samples were analyzed by using quantitative PCR or ELISA, and a diagnosis of borreliosis was confirmed for 310 patients. For patients with erythema migrans, 5 (3%) of 167 were positive for B. miyamotoi by PCR; for patients without erythema migrans, 65 (45%) of 143 were positive for B. miyamotoi by PCR. The median concentration for RNA was 3.8 times that for DNA. Median time for detection of B. miyamotoi in blood was 4 days.

Twitter Demographics

The data shown below were collected from the profiles of 15 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Ph. D. Student 3 18%
Student > Master 2 12%
Student > Bachelor 2 12%
Professor 1 6%
Other 1 6%
Unknown 5 29%
Readers by discipline Count As %
Medicine and Dentistry 3 18%
Biochemistry, Genetics and Molecular Biology 2 12%
Immunology and Microbiology 2 12%
Veterinary Science and Veterinary Medicine 2 12%
Unknown 8 47%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 15 October 2019.
All research outputs
#2,483,462
of 16,024,112 outputs
Outputs from Emerging Infectious Diseases
#2,551
of 7,635 outputs
Outputs of similar age
#62,486
of 281,299 outputs
Outputs of similar age from Emerging Infectious Diseases
#38
of 112 outputs
Altmetric has tracked 16,024,112 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.6. This one has gotten more attention than average, scoring higher than 66% 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 281,299 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 77% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.